1926 Chatbot Jobs - Page 13

Location: Onsite / Gurgaon Type: Full-time Experience: 0–1 years About QuickReply.ai QuickReply.ai is the operating system for WhatsApp marketing and sales workflows, used by B2C businesses to turn chat into business. We are scaling fast across industries, with a product that integrates deeply with apps like Shopify, CRMs, marketing automation tools, and AI models. We’re now hiring a sharp executor who lives inside our product and thinks like a product+content+automation hybrid. Someone who doesn’t wait for instructions but builds. Who you are You may or may not have worked in SEO formally, but you’ve used GPT to reverse-engineer how AI answers questions. You’re obsessed with AI tooling. For every task, you ask “should I GPT this?” You know what it means to prompt Claude, GPT-4o, or Gemini correctly, and get production-grade results. You can connect the dots between WhatsApp workflows, CRMs, lead flows, and customer journeys, even if you're not a marketer or engineer by training. You can think like a product user and write like a clear explainer. What you'll own Build chatbots + automation flows inside QuickReply.ai to understand our platform from the inside-out. Push 2+ high-depth SEO pages daily based on our content intelligence system and topic clusters. Work through a structured AI Citation SEO checklist that guides every piece toward ChatGPT/Gemini citation-readiness. Map search intent → user journey → QuickReply use case with zero hand-holding. Use tools like Frase, NeuronWriter, GPTs, Claude, and Sheets to build atomic, interlinked, E-E-A-T-aligned content. Research integrations and use cases with CRMs, MAs, or external SaaS tools — and write from a lens of systems-thinking. Ship machine-readable markup (FAQ schema, TLDR blocks, dataset summaries) with every publish. What you must already know You have built at least one chatbot, workflow, or internal automation, even if for fun. You have prompted LLMs to build real outputs , like a marketing plan, API call, email sequence, or webpage. You can explain what GPTs don’t do well and how to guide them. You’ve used Notion, ChatGPT, and Google Sheets with confidence. You’ve written long-form content that feels structured, crisp, and backed by real data or logic. Bonus (not mandatory) Familiarity with tools like Zapier, Make.com, or HubSpot Basic understanding of Schema.org markup or SEO plugins Some experience in B2B SaaS, martech, or WhatsApp ecosystem What you'll get Daily hands-on training with the GTM team Exposure to how a B2B SaaS company grows from $2M to $10M The playbook and tools to become a 1-person growth machine anywhere in the world Flat, no-BS, GPT-first culture where outputs > credentials Want to be part of a 2-to-10 team that builds like founders do?

Company Description Secure HealthCare is a health-tech startup revolutionizing how people access and interact with healthcare. Our AI-powered platform provides a centralized digital health experience—combining smart medical record management, real-time chatbot support, and personalized health insights. We aim to simplify healthcare by making accurate information accessible, empowering users with personalized recommendations, and supporting medical professionals with deeper patient data. With a user-first approach and a scalable freemium model, we're building the future of preventive, digital-first healthcare—intelligent, interactive, and always within reach. Role Description This is a remote internship role for a Full Stack Developer Intern. The Full Stack Developer Intern will be responsible for assisting in both front-end and back-end web development tasks, participating in software development projects, and contributing to the overall full-stack development process. The intern will have opportunities to work on various projects including developing new features, optimizing existing functionalities, and collaborating with cross-functional teams to achieve project goals. Qualifications Experience in Back-End Web Development and Software Development Proficiency in Front-End Development, including HTML, CSS, and JavaScript Knowledge of Full-Stack Development processes and tools Basic understanding of Cascading Style Sheets (CSS) Strong problem-solving and analytical skills Ability to work independently and remotely Interest in healthcare technology and AI-powered solutions is a plus Currently pursuing a degree in Computer Science, Information Technology, or a related field

Key Responsibilities ● Design, build, and maintain scalable infrastructure for training and deploying machine learning models at scale. ● Operationalize ML models, including the "TruValue UAE" AVM and the property recommendation engine, by creating robust, low-latency APIs for production use. ● Develop and manage data pipelines (ETL) to feed our machine learning models with clean, reliable data for both training and real-time inference. ● Implement and manage the MLOps lifecycle, including CI/CD for models, versioning, monitoring for model drift, and automated retraining. ● Optimize the performance of machine learning models for speed and cost-efficiency in a cloud environment. ● Collaborate with backend engineers to seamlessly integrate ML services with the core platform architecture. ● Work with data scientists to understand model requirements and provide engineering expertise to improve model efficacy and feasibility. ● Build the technical backend for the AI-powered chatbot, integrating it with NLP services and the core platform data. Required Skills and Experience ● 3-5+ years of experience in a Software Engineering, Machine Learning Engineering, or related role. ● A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. ● Strong software engineering fundamentals with expert proficiency in Python. ● Proven experience deploying machine learning models into a production environment on a major cloud platform (AWS, Google Cloud, or Azure). ● Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. ● Experience building and managing data pipelines using tools like Apache Airflow, Kubeflow Pipelines, or cloud-native solutions. ● Collaborate with cross-functional teams to integrate AI solutions into products. ● Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker) and orchestration (Kubernetes). Job Types: Full-time, Permanent Pay: ₹900,000.00 - ₹1,200,000.00 per year Benefits: Paid sick time Provident Fund Schedule: Day shift Fixed shift Work Location: In person

Designation: Customer Experience – CRM & Communication Process (Sr. Executive) 1. Lead Management & CRM Ownership Responsible for capturing all individual and enterprise leads and updating them in the CRM in real time during defined working hours. Ensure complete and accurate lead information is recorded, including requirement details, contact data, and lead source. Handle all inbound and missed calls routed through IVR and log each call in the CRM. Track leads assigned to other agents and ensure they are being followed up regularly. All comments, follow-ups, and interactions must be consistently updated in the lead screen. 2. WhatsApp Chat & Wati Communication Handling Monitor and actively manage Wati Chat communication for both individual and enterprise customers. Ensure the appropriate message flow, template triggering, and responsiveness is maintained through WhatsApp/WATI. Set up and maintain chatbot templates, campaigns, and follow-up flows. Any gaps, delays, or flaws in communication will be reviewed for immediate rectification. 3. IVR Monitoring & Team-Wide Call Oversight Keep a close check on IVR logs and click-to-call systems to ensure proper call logging and follow-up. Track individual agent calls and make sure these are updated in CRM with correct comments and outcomes. Any missing or flawed record entries will be escalated for correction and affect performance reviews. 4. Documentation & CRM Enrichment Supervise document submissions for new and recurring clients, ensuring all details are correctly entered. Verify CRM data completeness including contact details, compliance information, account-specific data, and opportunity values. Ensure the screen shows all required documentation status, comments, updates, and compliance checks. 5. Accountability Note Any errors, delays, or non-updated entries in Wati Chat or CRM will be marked in the KPI Further detailed KRAs tied to quantitative KPIs (response rate, CRM completeness, documentation turnaround time) will be shared separately. * Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,894.90 per month Education: Bachelor's (Required) Experience: Customer support: 1 year (Required) Work Location: In person

Job requisition ID :: 82483 Date: Jul 14, 2025 Location: Delhi Designation: Analyst Entity: Deloitte India LLP Y our potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Job Description Design, develop, and deploy chatbots and conversational experiences. Work closely with stakeholders to gather requirements and translate them into technical specifications. Conduct testing and debugging to ensure the reliability and performance of chatbot solutions. Provide ongoing support and maintenance for deployed chatbots, including troubleshooting and resolving issues. Stay updated on industry trends and best practices related to conversational AI and customer engagement. Requirements: Education: Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred. Experience: 2+ years in software development, or related roles. Proficiency in Java Strong proficiency in designing, developing, and deploying scalable microservices on cloud platforms using Java Spring Boot. Experience in working with web services technologies, including SOAP, REST, and JSON/XML with knowledge of SQL Strong troubleshooting and debugging skills, with the ability to analyze and resolve complex technical issues. Strong understanding of NLP , machine learning, and chatbot technologies. Excellent communication and presentation skills. Strong problem-solving skills and attention to detail. Ability to work independently and collaboratively in a fast-paced environment. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

The Role As a Product Technical Lead , you will act as the bridge between the product vision and technical execution. You will lead product architecture discussions, define technical roadmaps, and guide engineering teams to deliver high-performance, scalable solutions for our AI chatbot platform – BotPenguin. This is a high-impact role that demands strategic thinking, hands-on development expertise, and leadership skills to align cross-functional teams toward product success. You will be closely working with product managers, senior engineers, AI experts, and business stakeholders. You will also be responsible for conducting code reviews, mentoring junior developers, and ensuring high software quality standards. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 5 + years of experience in software engineering with at least 2+ years in a technical leadership role. Technical Skills: Proven experience in scalable system design and product architecture . Strong understanding of MEAN/MERN Stack technologies. Experience in software architecture planning and low-level design. Ability to define and implement product-level architectural patterns. Ability to create and implement scalable, high-performance solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerisation (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Strong analytical mindset, leadership skills, and a passion for mentoring junior developers. What you will be doing Lead technical architecture design and roadmap planning for BotPenguin’s core platform. Work alongside the Product Manager to align product vision with technical execution. Collaborate with engineering teams to translate product requirements into scalable solutions . Design and develop core modules of the platform, especially those related to automation, chat assignment, analytics, and multi-agent support . Implement and enforce technical best practices , coding guidelines, and documentation standards. Evaluate and integrate LLM models, AI agents , and automation tools as per evolving product needs. Ensure performance, security, and scalability of applications across global deployments. Support Customer Success and QA teams with technical issue resolution and RCA . Drive technical discussions, conduct code reviews, and ensure timely feature delivery. Foster a culture of continuous improvement, collaboration, and innovation within the tech team. Collaborate with the Product Team to plan and implement technical solutions for new features. Work closely with Technical Leads & Senior Developers to define software architecture and create low-level designs. Conduct code reviews to ensure adherence to best practices and coding standards. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Mentor junior engineers, providing guidance on best practices and career growth. Any other task relevant to the product that may be needed. Top reasons to work with us Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,000,000.00 per year Benefits: Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: relevant: 3 years (Required) Work Location: In person

The Role As a Software Engineer , you will play a pivotal role in designing, developing, and optimizing BotPenguin’s AI chatbot & Agents platform. You’ll collaborate with product managers, senior engineers, and customer success teams to develop robust backend APIs, integrate with frontend applications, and enhance system performance. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 1-3 years in software development roles. Technical Skills: Strong understanding of MEAN/MERN Stack technologies. Experience in designing and deploying end-to-end solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerization (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Willingness to build something big, Strong problem-solving mindset, proactive approach, and a willingness to learn. What you will be doing Collaborate with the Product Team to plan and implement new features. Work alongside Technical Leads & Senior Developers to define solutions & low-level design. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Top reasons to work with us Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹200,000.00 - ₹600,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: relevant: 2 years (Required) Work Location: In person

The Role: As a Product Analyst , you will play a critical role in helping us build data-driven, user-centric features on the BotPenguin platform. You will work closely with Product Managers, Design, Engineering, Marketing, and Customer Success Teams to analyze user behavior, validate feature performance, and uncover growth opportunities through actionable insights. This is an exciting opportunity to join a high-growth product team and influence strategic decisions at the intersection of data, product design, and customer experience. What you need for this role: Education: Bachelor’s degree in Computer Science, Business Analytics, Engineering, Statistics, or related field. Experience: 2-5 years of experience in a product or data analyst role within a SaaS or tech product environment. Technical Skills: Strong expertise in MongoDB and data visualization tools (e.g., Tableau, Power BI, Metabase). Familiarity with Google Analytics, Mixpanel, Hotjar, or other product analytics platforms. Hands-on experience working with Excel/Google Sheets, building dashboards, and extracting user insights. Knowledge of product lifecycle, user funnels, A/B testing, and cohort analysis. Bonus: Exposure to Python, R, or basic scripting for data processing. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and storytelling abilities—able to translate data into strategic insights. Proactive attitude with a willingness to own initiatives and drive improvements. Keen interest in product design, user experience, and tech innovation. What you will be doing: Collaborate with Product Managers to define key metrics, success criteria, and feature adoption benchmarks. Analyze platform usage, customer behavior, and market data to discover pain points and opportunity areas. Generate and maintain weekly/monthly product reports and dashboards for cross-functional teams. Design and evaluate A/B tests, feature rollouts, and experiments to improve user engagement and retention. Work with the Engineering team to ensure accurate data tracking and event instrumentation. Monitor product KPIs and proactively raise red flags for anomalies or unexpected trends. Participate in roadmap discussions, contributing insights backed by data. Assist in user segmentation and support marketing and CS teams with insights for personalized communication and retention strategies. Assist on any other related to the product development or management if required. Top reasons to work with us: Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: product analyst : 3 years (Required) Work Location: In person

Role Overview We are seeking a Conversational AI Developer with hands-on experience in Voiceflow or any similar tools and a deep understanding of Large Language Models (LLMs) . You will play a key role in building and enhancing intelligent, human-like conversational agents to streamline user experiences across our platform. This is an exciting opportunity to work at the cutting edge of healthcare technology and AI. Key Responsibilities Design, build, and optimize conversational experiences using Voiceflow, ensuring natural and intuitive interactions. Integrate and maintain conversational workflows using custom JavaScript or Python functions. Work closely with the product, design, and engineering teams to iterate on conversation logic, voice tone, and response quality. Connect conversational flows to backend services using APIs and JSON for data processing and dynamic interactions. Apply prompt engineering techniques to enhance LLM performance and user engagement. Monitor bot performance and user interactions to continually refine and improve the experience. Stay updated with the latest in conversational AI, LLM innovations, and emerging technologies. Required Skills & Qualifications Proven experience in conversational AI development, with hands-on expertise in Voiceflow or any similar tools. Strong programming skills in JavaScript or Python to create custom functions and scripts. Solid experience working with APIs and JSON for integrating backend logic. Understanding of Large Language Models (LLMs) such as GPT, including how to fine-tune prompts and generate accurate responses. Ability to translate complex workflows into user-friendly conversational journeys. Excellent problem-solving and communication skills. Skills: javascript,json,prompt engineering,conversational ai,python,chatbot,voiceflow,apis,voicebot,conversational ai development,api,large language models (llms)

Position - Project Manager Job Location - Noida About Zeapl.ai (www.zeapl.com) Zeapl.ai is a Ministry of Electronics and Information Technology supported fast-growing enterprise SaaS startup, working with Fortune-500 companies. Our platform enables enterprises to drive 2-4x higher engagement of users on large scale campaigns. Marketing teams (for customer engagement), Sales & Distribution teams (for sales Team & channel engagement) and Customer Service teams (for driving CSAT / NPS) love what Zeapl has delivered for them. With offices in Noida, Pune and a development center in Indore (India), Zeapl is hiring for its next phase of growth. The Role Lead end-to-end deployment of AI chatbot solutions for enterprise clients. Own timelines, optimize processes, and ensure seamless adoption—directly impacting client success. What You’ll Do: Manage implementations (kickoff to go-live), ensuring 100% on-time delivery. Drive client satisfaction (99%+ CSAT) with SLA-backed issue resolution. Cut deployment cycles by 25% QoQ through process innovation. Mitigate risks—zero surprise escalations, 100% pre-mortem plans. You Should Have: 4+ years in SaaS implementation (chatbot/AI experience preferred). Agile/Jira expertise, technical fluency (APIs, cloud infra). Strong client-facing & cross-functional leadership skills. Excellent written and verbal communication skills. Experience in managing IT, consulting, or SaaS projects. Bachelor's degree in IT, Computer Science or equivalent work experience. What To Expect A challenging position with lots of room for growth and support for personal and professional development with a great opportunity to work with a cross-functional team along with Opportunity to work in a Product company in a vertical B2B niche SaaS A transparent work culture that promotes individuals with fresh ideas Fun events, curated workshops, learning sessions, awards & recognitions etc

About the Company RADcube – A Stlogics Company is dedicated to innovation in AI & Data. Our mission is to leverage cutting-edge technology to create impactful solutions that drive business success. We foster a collaborative and inclusive culture where creativity and teamwork thrive. About the Role We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Work Location : Hyderabad (hi-tech City). Shift Timings :EST Time Zone Experience : Min 5+yrs Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science. 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes. Proven work with NLP, CNNs, LLMs, and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Required Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. We encourage applications from individuals of all backgrounds and experiences.

With over 20+ years of experience in the IT landscape, we at Saxon.AI have been at the forefront of delivering the transformative power of data, AI & automation to enterprises of all sizes. Our industry knowledge, diverse skill sets, and next-generation technology applied to each business challenge ensure our customer's technology initiatives are deployed, embraced, and scaled for maximum ROI. Whether it's an actionable dashboard, chatbot, intelligent document processing, or an intelligent enterprise app, we'll help you make the right technology choice with the best-fit application process to drive adoption across your business. By building and transferring digital skills, expertise, and ideas from our innovation ecosystem, we constantly evolve and stay relevant with a learn-it-all culture and continuous . Our core DNA is building the technical aspects of a firm’s digital evolution with the power of 4A - Analytics, Apps, AI, and Automation. Role : Junior Web Developer Location: Hyderabad(WFO) Need Someone – Immediate Joinees Experience : 1-4yrs Job Summary: We are looking for an enthusiastic Web Developer with a focus on WordPress to assist in the development, maintenance, and optimization of our WordPress-based websites. The ideal candidate will have foundational skills in web development, a keen interest in WordPress, and a desire to grow their technical expertise in a collaborative environment. Key Responsibilitie s: · Develop and maintain WordPress websites, ensuring functionality, performance, and responsiveness. · Customize WordPress themes and plugins to meet requirements. · Collaborate with designers and developers to implement website features and enhancements. · Write clean, efficient, and well-documented code using HTML, CSS, and jQuery. · Troubleshoot and resolve website issues, including bugs, performance bottlenecks, and compatibility problems. · Assist in optimizing websites for speed, SEO, and user experience. · Stay updated on WordPress updates, best practices, and emerging web development trends. Experience: 1-2 years of experience in web development, preferably with WordPress. Required Skills : · Hands-on experience with WordPress, including configuration and troubleshooting. · Proficiency in HTML and CSS for building and styling web pages. · Working knowledge of jQuery for adding interactivity to websites. · Familiarity with WordPress themes and plugins, including configuration and troubleshooting. · Basic understanding of responsive design principles and cross-browser compatibility. · Strong problem-solving skills and attention to detail. · Ability to work collaboratively in a team environment and communicate effectively. · Eagerness to learn and adapt to new technologies and tools. Preferred Skills (Optional): · Experience with PHP and MySQL for WordPress backend development. · Familiarity with version control systems (e.g., Git). · Basic knowledge of SEO best practices. · Exposure to front-end frameworks or libraries (e.g., Bootstrap).

Job Description Strong experience in Servicenow. Extensive experience in - ITSM, ITOM, ITAM, Experience - 7+ years. Location - PAN India. Key Responsibilities: 1. ServiceNow IVA (Chat Bot) Implementation: Design, develop, and deploy ServiceNow Intelligent Virtual Agents (IVA) to enhance user interaction and support. Customize and configure IVA to meet specific business requirements. Monitor and optimize IVA performance to ensure high levels of user satisfaction. 2. Self Help Cases Deployment: Develop and implement self-help cases within the ServiceNow platform. Ensure that self-help cases are user-friendly and provide effective solutions to common issues. Continuously update and improve self-help cases based on user feedback and evolving business needs. 3. Service Request Automation: Automate service request processes using ServiceNow to improve efficiency and reduce manual intervention. Collaborate with stakeholders to identify automation opportunities and implement solutions. Maintain and troubleshoot automated workflows to ensure seamless operation. 4. Generative AI Integration (Good to Have): Explore and integrate Generative AI capabilities within the ServiceNow platform to enhance IVA and other functionalities. Stay updated with the latest advancements in AI and recommend innovative solutions to improve service delivery. Preferred Skills: Certification in ServiceNow Administration or Development. Experience with scripting languages such as JavaScript. Familiarity with ITIL processes and best practices. Ability to work independently and as part of a team. Proven experience with ServiceNow, specifically in IVA (Chat Bot) development and deployment. Strong understanding of ServiceNow Self Help Cases and Service Request Automation. Experience with Generative AI technologies related to ServiceNow is a plus. Excellent problem-solving skills and attention to detail.

Solution Architect – Gen AI Azure Tech Lead Architect Title - Solution Architect – Gen AI Azure Tech Lead Architect Location : Pune, Hyderabad , Mumbai, Kolkata, Chennai, Bangalore Exp range : 9 to 15 years Interview : L1 Interview Virtual/ L2 Face to face Must Skills: AI/Gen AI, Azure OpenAI, RAG, Python Fast API , Solution Job Summary: We are seeking a highly experienced Solution Architect with deep expertise in Microsoft Azure and AI/Generative AI solutions. The ideal candidate will have hands-on experience architecting and implementing enterprise-grade solutions using Azure services such as Azure Functions, Azure Service Bus, Azure Blob Storage, Azure Monitor, and Azure App Services. Additionally, the architect must possess strong capabilities in modern AI paradigms like Azure Document Intelligence, Azure OpenAI, RAG (Retrieval-Augmented Generation), Embeddings, Langchain, LlamaIndex, LangGraph, and Agentic AI systems. The candidate should be a strong communicator, capable of interfacing with clients, leading cross-functional teams, and delivering quick Proofs of Concept (POCs) where needed. Key Responsibilities: Architect scalable and secure AI and cloud-native solutions using Microsoft Azure services. Lead the design and implementation of AI/Gen AI applications, including: Document extraction and analysis using Azure Document Intelligence. Language model integration using Azure OpenAI. Building RAG pipelines, custom embeddings, and vector store integrations. Implementing agentic frameworks like Langchain, LlamaIndex, LangGraph, or CrewAI. Collaborate closely with product owners, business stakeholders, and engineering teams to gather requirements and define solution blueprints. Guide the engineering team through implementation phases, providing technical leadership and mentorship. Own end-to-end architecture decisions – including data flow, security, observability,and scalability. Prototype solutions and lead rapid development of POCs to validate approaches. Ensure integration with broader enterprise systems and coordinate with otherservice lines as needed. Support performance tuning, cost optimization, and monitoring using tools like Azure Monitor. Required Skills and Experience: Cloud Expertise (Azure): Strong experience with Azure Functions, Azure App Services, Azure Blob Storage, Azure Service Bus, Azure Monitor. Proven ability to build secure and scalable microservices and event-driven architectures on Azure. AI & Generative AI: Hands-on experience with Azure OpenAI Service. Expertise in Azure Document Intelligence for document parsing and extraction. In-depth knowledge of RAG architecture, embeddings, vector databases. Proficient in Langchain, LlamaIndex, and at least one orchestration framework like LangGraph or Crew AI. Knowledge of chatbot development and multi-agent systems. Architecture & Communication: Strong communication and interpersonal skills to interact with customers, present solutions, and align on priorities. Experience leading cross-functional teams and working across service lines. Ability to balance hands-on development and high-level architectural thinking. Preferred Qualifications: 10+ years of overall experience in IT, with at least 5 years in solution architecture. 2+ years of experience in AI/Gen AI space. Certifications in Azure (e.g., Azure Solutions Architect Expert). Familiarity with MLOps and LLMOps practices. Nice to Have: Experience with Kubernetes or containerized deployments on Azure. Familiarity with CI/CD pipelines and DevSecOps best practices. Exposure to enterprise systems such as SharePoint, ERP, or Document Management platforms.

About Organisation: Akshayakalpa is India’s first and most significant, Organic Milk producer every day reaching about 150,000 households in Bengaluru, Chennai and Hyderabad. We believe a lot of wrong has been done to farmers and food in the last few decades and our attempt is to make it right for both. We do this by creating role model farmers in villages who can inspire other farmers to stay put, grow and thrive in their own villages. Responsibilities: Leadership & Strategy: Develop and implement customer engagement strategies that align with the company’s goals and objectives. Lead, mentor, and manage the customer engagement team, fostering a culture of excellence and continuous improvement. Operations Management: Oversee daily customer service operations, ensuring high-quality service delivery across all channels (phone, email, chat, social media). Analyze service metrics and customer feedback to identify trends, areas for improvement, and opportunities for innovation Meet the SLAs and other metrics set as targets as part of management reviews Customer Experience Enhancement: Develop and implement customer service training programs that emphasize best practices and the use of technology. Monitor and assess customer satisfaction through surveys, feedback, and service analytics, take proactive measures to enhance customer experience. Lead the development, implementation, and optimization of chatbot technology to improve customer engagement and operational efficiency. Technology enablement Study various tasks undertaken by the team to evaluate possible automation Work with both internal and external technology teams to build all the tech tools required to automate operations to the maximum possible extent Explore the best practices followed in the market in terms of technology and processes and see how we can implement it Collaboration & Communication: Work closely with other departments (e.g., Sales, Marketing, Technology, delivery ) to ensure a cohesive approach to customer engagement and support. Communicate effectively with stakeholders, providing updates on performance, initiatives, and strategic plans Team Building Build a team and culture that aligns with Akshayakalpa's Vision, values and culture Hire, retain and train employees. Wok with HR team to ensure regular appraisals, feed back and recognition Run various employee engagement activities working closely with HR Build a spirit of collaboration among team members Work on upskilling the team to enable them to take up more value-added roles

The Role As a Software Engineer , you will play a pivotal role in designing, developing, and optimizing BotPenguin’s AI chatbot & Agents platform. You’ll collaborate with product managers, senior engineers, and customer success teams to develop robust backend APIs, integrate with frontend applications, and enhance system performance. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 1-3 years in software development roles. Technical Skills: Strong understanding of MEAN/MERN Stack technologies. Experience in designing and deploying end-to-end solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerization (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Willingness to build something big, Strong problem-solving mindset, proactive approach, and a willingness to learn. What you will be doing Collaborate with the Product Team to plan and implement new features. Work alongside Technical Leads & Senior Developers to define solutions & low-level design. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Top reasons to work with us Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹200,000.00 - ₹600,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: relevant: 2 years (Required) Work Location: In person

The Role As a Product Technical Lead , you will act as the bridge between the product vision and technical execution. You will lead product architecture discussions, define technical roadmaps, and guide engineering teams to deliver high-performance, scalable solutions for our AI chatbot platform – BotPenguin. This is a high-impact role that demands strategic thinking, hands-on development expertise, and leadership skills to align cross-functional teams toward product success. You will be closely working with product managers, senior engineers, AI experts, and business stakeholders. You will also be responsible for conducting code reviews, mentoring junior developers, and ensuring high software quality standards. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 5 + years of experience in software engineering with at least 2+ years in a technical leadership role. Technical Skills: Proven experience in scalable system design and product architecture . Strong understanding of MEAN/MERN Stack technologies. Experience in software architecture planning and low-level design. Ability to define and implement product-level architectural patterns. Ability to create and implement scalable, high-performance solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerisation (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Strong analytical mindset, leadership skills, and a passion for mentoring junior developers. What you will be doing Lead technical architecture design and roadmap planning for BotPenguin’s core platform. Work alongside the Product Manager to align product vision with technical execution. Collaborate with engineering teams to translate product requirements into scalable solutions . Design and develop core modules of the platform, especially those related to automation, chat assignment, analytics, and multi-agent support . Implement and enforce technical best practices , coding guidelines, and documentation standards. Evaluate and integrate LLM models, AI agents , and automation tools as per evolving product needs. Ensure performance, security, and scalability of applications across global deployments. Support Customer Success and QA teams with technical issue resolution and RCA . Drive technical discussions, conduct code reviews, and ensure timely feature delivery. Foster a culture of continuous improvement, collaboration, and innovation within the tech team. Collaborate with the Product Team to plan and implement technical solutions for new features. Work closely with Technical Leads & Senior Developers to define software architecture and create low-level designs. Conduct code reviews to ensure adherence to best practices and coding standards. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Mentor junior engineers, providing guidance on best practices and career growth. Any other task relevant to the product that may be needed. Top reasons to work with us Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,000,000.00 per year Benefits: Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: relevant: 3 years (Required) Work Location: In person

Job Title: Python Developer – Data Science & AI Integration Location: Chandkheda, Ahmedabad, Gujarat 382424 Experience: 2–3 Years Employment Type: Full-time Work Mode: On-site About the Role We are seeking a talented and driven Python Developer to join our AI & Data Science team. The ideal candidate will have experience in developing backend systems, working with legal datasets, and integrating AI/LLM-based chatbots (text and voice). This is a hands-on role where you’ll work across modern AI architectures like RAG and embedding-based search using vector databases. Key Responsibilities Design and implement Python-based backend systems for AI and data science applications. Analyze legal datasets and derive insights through automation and intelligent algorithms. Build and integrate AI-driven chatbots (text & voice) using LLMs and RAG architecture. Work with vector databases (e.g., Pinecone, ChromaDB) for semantic search and embedding pipelines. Implement graph-based querying systems using Neo4j and Cypher. Collaborate with cross-functional teams (Data Scientists, Backend Engineers, Legal SMEs). Maintain data pipelines for structured, semi-structured, and unstructured data. Ensure code scalability, security, and performance. Required Skills & Experience 2–3 years of hands-on Python development experience in AI/data science environments. Solid understanding of legal data structures and preprocessing. Experience with LLM integrations (OpenAI, Claude, Gemini) and RAG pipelines. Proficiency in vector databases (e.g., Pinecone, ChromaDB) and embedding-based similarity search. Experience with Neo4j and Cypher for graph-based querying. Familiarity with PostgreSQL and REST API design. Strong debugging and performance optimization skills. Nice to Have Exposure to Agile development practices. Familiarity with tools like LangChain or LlamaIndex. Experience working with voice-based assistant/chatbot systems. Bachelor's degree in Computer Science, Data Science, or a related field. Why Join Us? Work on cutting-edge AI integrations in a domain-focused environment. Collaborate with a passionate and experienced cross-functional team. Opportunity to grow in legal-tech and AI solutions space.

Generative AI Engineer Experience: 4 to 10 Years (with minimum 2+ years in Generative AI) Location: Remote Key Skills Required: Should have experience with architectural development • Proficient with LLMs (GPT-3/4, LLaMA, Bard, Dolly) • Prompt engineering, product/roadmap ownership • Prototype design for Chat, Vision, and Multi-modal use-cases • Advanced degree (Master’s/PhD preferred); research or publication experience is a plus Ideal Profile: • 4 to 10 years of total experience with 2+ yearsin GenAI • Led development of LLM-based platforms for chatbot and vision use-cases • Expertise in GenAI roadmap ownership, LLM fine-tuning, and agent chains

We are looking for a Senior Software Engineer / Technical Architect – B2C Platform to join our Product Engineering team at Thane (Maharashtra – India). The ideal candidate should have 5+ years of experience in building high-scale consumer-facing platforms with a strong foundation in backend architecture and engineering execution. This role demands a product mindset, technical depth, and the ability to ship fast in a collaborative, purpose-driven environment. Top 3 Daily Tasks: ● Architect and build scalable backend services using Java (Spring Boot) and Python (FastAPI/Django). ● Lead key decisions on infrastructure, real-time data pipelines, LLM-integrated systems, and platform observability. ● Collaborate cross-functionally with product, design, and infrastructure teams to ship user-first features at scale. Requirements ● 5+ years of backend development experience with a strong foundation in scalable system design and cloud-native infrastructure. ● Must have experience working with big brands and with good experience in AI. ● Deep hands-on experience with Java, Python , and frameworks like Spring Boot , Django , or FastAPI . ● Proven expertise in building scalable microservices, streaming pipelines, and event-driven systems. ● Strong proficiency with Redis , PostgreSQL , PGVector , and one or more cloud platforms ( AWS/GCP ). ● Exposure to LLM features like RAG , vector search , GPT workflows , or chatbot architectures ● Solid system design capabilities, with the ability to lead architecture reviews and mentor junior developers. * Full-Stack Awareness: ● Comfort with front-end tools like ReactJS for building internal dashboards or quick user-facing utilities. ● Understanding of modern DevOps practices, containerization, and observability tools like Prometheus, Grafana, and OTEL. Nice to have ● Experience working with Agentic systems, real-time infra, or AI-driven product features. ● Prior involvement in building high-performance consumer products from scratch. ● Passion for conscious innovation and building tech that impacts millions.

The Role: As a Product Analyst , you will play a critical role in helping us build data-driven, user-centric features on the BotPenguin platform. You will work closely with Product Managers, Design, Engineering, Marketing, and Customer Success Teams to analyze user behavior, validate feature performance, and uncover growth opportunities through actionable insights. This is an exciting opportunity to join a high-growth product team and influence strategic decisions at the intersection of data, product design, and customer experience. What you need for this role: Education: Bachelor’s degree in Computer Science, Business Analytics, Engineering, Statistics, or related field. Experience: 2-5 years of experience in a product or data analyst role within a SaaS or tech product environment. Technical Skills: Strong expertise in MongoDB and data visualization tools (e.g., Tableau, Power BI, Metabase). Familiarity with Google Analytics, Mixpanel, Hotjar, or other product analytics platforms. Hands-on experience working with Excel/Google Sheets, building dashboards, and extracting user insights. Knowledge of product lifecycle, user funnels, A/B testing, and cohort analysis. Bonus: Exposure to Python, R, or basic scripting for data processing. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and storytelling abilities—able to translate data into strategic insights. Proactive attitude with a willingness to own initiatives and drive improvements. Keen interest in product design, user experience, and tech innovation. What you will be doing: Collaborate with Product Managers to define key metrics, success criteria, and feature adoption benchmarks. Analyze platform usage, customer behavior, and market data to discover pain points and opportunity areas. Generate and maintain weekly/monthly product reports and dashboards for cross-functional teams. Design and evaluate A/B tests, feature rollouts, and experiments to improve user engagement and retention. Work with the Engineering team to ensure accurate data tracking and event instrumentation. Monitor product KPIs and proactively raise red flags for anomalies or unexpected trends. Participate in roadmap discussions, contributing insights backed by data. Assist in user segmentation and support marketing and CS teams with insights for personalized communication and retention strategies. Assist on any other related to the product development or management if required. Top reasons to work with us: Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: product analyst : 3 years (Required) Work Location: In person

Job requisition ID :: 85333 Date: Jul 15, 2025 Location: Delhi Designation: Consultant Entity: Deloitte Touche Tohmatsu India LLP Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn more about Analytics and Information Management Practice Work you’ll do as a Consultant The primary role of a Consultant or Sr. Consultant is to be responsible for managing specific sub-work stream (or sub-modules) within a broader project. Sr. Consultants and Consultants on engagements report into the team lead/ manager and are responsible for end to end delivery of the sub-work stream allocated to them. The responsibilities of Consultant can include: Design and develop intelligent chatbots and virtual assistants using Python and LLM technologies (e.g., OpenAI, LangChain, Rasa, Hugging Face). Fine-tune or prompt-engineer large language models for domain-specific tasks. Integrate chatbots into web/mobile platforms, messaging channels (e.g., WhatsApp, Slack), and APIs. Build workflows and pipelines for intent recognition, entity extraction, and context management. Develop fallback strategies, multi-turn conversation flows, and user personalization features. Monitor and optimize chatbot performance using analytics, logging, and feedback loops. Collaborate with data scientists, product managers, and designers to deliver human-like conversational UX. Ensure compliance with privacy, security, and ethical AI standards. Must-Have Skills: 3–6 years of experience in backend development with a strong focus on Python. Proven hands-on experience with LLMs (e.g., GPT-4, LLAMA, Claude) and frameworks like LangChain, LlamaIndex, or Rasa. Strong understanding of NLP concepts including tokenization, embeddings, and prompt engineering. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with RESTful API design, integration, and webhooks. Strong debugging and optimization skills for chatbot performance and response accuracy. Experience with Git, CI/CD pipelines, and containerized deployments (Docker, Kubernetes). Experience with state management tools (e.g., Redux, Context API). Familiarity with mobile-specific concerns: permissions, deep linking, offline storage, etc. Skilled in integrating APIs and handling real-time data using REST or GraphQL. Version control using Git and collaborative development tools (e.g., GitHub, Bitbucket). Nice to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and services like Lambda, Sage Maker, or Vertex AI. Knowledge of front-end technologies for chatbot interfaces (e.g., React, HTML/CSS). Experience with speech-to-text and text-to-speech systems. Hands-on experience with logging, monitoring, and A/B testing chatbot flows. Familiarity with ethical AI principles, data privacy regulations (GDPR, HIPAA), and responsible AI practices. You’re a Great Fit If You: Have a strong interest in the evolving field of generative AI and conversational interfaces. Enjoy solving complex problems and building real-world applications that scale. Can independently take ownership of chatbot projects from design to deployment. Thrive in a collaborative, cross-functional, agile environment. Are committed to continuous learning and keeping up with AI innovations. Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. In addition to living our purpose, Consultant across our organization: Ability to execute a project using Agile techniques to quickly deliver value for clients Ability to propose solutions by adopting a customer-centric view of the client’s strategy Ability to combine digital acumen and a domain specialization to create solutions for our clients Ability to build and contribute domain thought-ware for use by the network Ability to select appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client’s business strategy Ability to address client business challenges in the intersection of process and technology Ability to produce a high quality work product and collaborate with others to deliver a superior client experience Ability to deliver key messages with clarity, confidence and poise to instill confidence in clients Ability to incorporate financial information when evaluating strategic options Ability to apply a global and diverse perspective to problem solving Ability to understand how business functions operate and how sector trends impact a client’s business Ability to organize insights and define a logical flow to tell a story when presenting recommendations Builds relationships and communicates effectively in order to positively influence peers and other stakeholders Identifies and embraces our purpose and values and puts these into practice in their professional life Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. In addition to living our purpose, Consultant across our organization: Develop high-performing people and teams through challenging and meaningful opportunities Deliver exceptional client service; maximize results and drive high performance from people while fostering collaboration across businesses and borders Influence clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people Understand key objectives for clients and Deloitte; align people to objectives and set priorities and direction. Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make How you will grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build excellent skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you are applying to. Check out recruiting tips from Deloitte professionals.

What we want to accomplish and why we need you? Jio Haptik is an AI leader having pioneered AI-powered innovation since 2013. Reliance Jio Digital Services acquired Haptik in April 2019. Haptik currently leads India’s AI market having become the first to process 15 billion+ two-way conversations across 10+ channels and in 135 languages. Haptik is also a Category Leader across platforms including Gartner, G2, Opus Research & more. Recently Haptik won the award for “Tech Startup of the Year” in the AI category at Entrepreneur India Awards 2023, and gold medal for “Best Chat & Conversational Bot” at Martequity Awards 2023. Haptik has a headcount of 200+ employees with offices in Mumbai, Delhi, and Bangalore. What will you do every day? As a Project Manager, you will play a pivotal role in building and delivering care bots for the core Reliance businesses and its subsidiaries. This role demands strong multitasking abilities, ensuring seamless collaboration across internal and external teams to deliver impactful solutions powered by conversational AI. Your daily responsibilities will include conducting scrums, managing client calls, unblocking project teams, and developing conversational designs and workflows. You will also measure the performance of deployed bots while ensuring stakeholder alignment and maintaining clear communication across all channels. Managing multiple projects and priorities simultaneously will make each day dynamic and engaging. Ok, you're sold, but what are we looking for in the perfect candidate? We’re looking for an experienced and driven individual with a proven track record in project or product management, preferably in consumer-facing products. The ideal candidate will: Collaborate with the Business Development team to refine proposals for prospective clients. Design conversational solutions that align with business goals while ensuring an exceptional user experience. Proactively engage with clients to unblock internal teams, from requirement gathering to dependency closure. Coordinate with internal and external stakeholders to ensure timely project delivery. Champion effective communication by providing regular updates on project deliverables, timelines, and dependencies. Lead scrums and sprints while providing clear direction to development teams on project scope. Manage a team of engineers and bot builders for project delivery Partner with the Customer Success team to drive continuous improvements in chatbot performance. Requirements: 3-4 years of experience as a Product or Project Manager, preferably with consumer-facing products. Bachelor’s or master’s degree in any field. Strong understanding of the consumer internet ecosystem; experience in the Chatbot/AI domain is a plus. Proficiency in project/program management tools like Jira, along with strong skills in Excel and Word. Excellent project/program management skills, including stakeholder coordination, task prioritization, and timeline management. High-level understanding of tech platforms, including Android, iOS, Web, and Voice. Prior experience working in startups or successful entrepreneurial ventures. Exceptional problem-solving and analytical skills. Tell me more about Haptik On a roll: Announced major strategic partnership in April 2019 with Jio in a $100 million deal. Great team: You will be working with great leaders who have been listed in Business World 40 Under 40, Forbes 30 Under 30 and MIT 35 Under 35 Innovators. Great culture: The freedom to think and innovate is something that defines the culture of Haptik. Every person is approachable. While we are working hard, it is also important to take breaks to not get too worked up. Huge market: Disrupting a massive, growing AI market. The global market is projected to attain a valuation of $9 billion by the end of 2024. Emerging technology: We are moving to a Gen AI first world, and Haptik is one of the largest Generative AI first companies globally, based out of India. Great customers: Some of the most notable brands in the world - Jio, Paytm, Adani, Paisabazaar, Puma & Whirlpool Impact: A fun and exciting start-up culture that empowers its people to make a huge impact. Working hard for things that we don't care about is stress, but working hard for something we love is called passion! At Haptik we passionately solve problems in order to be able to move faster and each Haptikan imbibes our key values of honesty, ownership, perseverance, communication, impact, curiosity, courage, agility and selflessness.

Job Description Java Developer with expertise in Prompt Engineering to join our AI-driven development team. The ideal candidate will combine robust Java backend development capabilities with hands-on experience in integrating and fine-tuning LLMs (e.g., OpenAI, Cohere, Mistral, or Anthropic), designing effective prompts, and embedding AI functionality into enterprise applications. This role is ideal for candidates passionate about merging traditional enterprise development with cutting-edge AI technologies. Key Responsibilities Design, develop, and maintain scalable backend systems using Java (Spring Boot) and integrate AI/LLM services. Collaborate with AI/ML engineers and product teams to design prompt templates, test prompt effectiveness, and iterate for accuracy, performance, and safety. Build and manage RESTful APIs that interface with LLM services and microservices in production-grade environments. Fine-tune prompt formats for various AI tasks (e.g., summarization, extraction, Q&A, chatbots) and optimize for performance and cost. Apply RAG (Retrieval-Augmented Generation) patterns to retrieve relevant context from data stores for LLM input. Ensure secure, efficient, and scalable communication between LLM APIs (OpenAI, Google Gemini, Azure OpenAI, etc.) and internal systems. Develop reusable tools and frameworks to support prompt evaluation, logging, and improvement cycles. Write high-quality unit tests, conduct code reviews, and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab. Work in Agile/Scrum teams and contribute to sprint planning, estimation, and retrospectives. Must-Have Technical Skills Java & Backend Development : Core Java 8/11/17 Spring Boot, Spring MVC, Spring Data JPA RESTful APIs, JSON, Swagger/OpenAPI Hibernate or other ORM tools Microservices architecture Prompt Engineering / LLM Integration : Experience working with OpenAI (GPT-4, GPT-3.5), Claude, Llama, Gemini, or Mistral models. Designing effective prompts for various tasks (classification, summarization, Q&A, etc.) Familiarity with prompt chaining, zero-shot/few-shot learning Understanding of token limits, temperature, top_up, and stop sequences Prompt evaluation methods and frameworks (e.g., LangChain, LlamaIndex, Guidance, PromptLayer) AI Integration Tools : LangChain or LlamaIndex for building LLM applications API integration with AI platforms (OpenAI, Azure AI, Hugging Face, etc.) Vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB) DevOps / Deployment : Docker, Kubernetes (preferred) CI/CD tools (Jenkins, GitHub Actions) AWS/GCP/Azure cloud environments Monitoring : Prometheus, Grafana, ELK Stack Good-to-Have Skills Python for prototyping AI workflows Chatbot development using LLMs Experience with RAG pipelines and semantic search Hands-on with GitOps, IaC (Terraform), or serverless functions Experience integrating LLMs into enterprise SaaS products Knowledge of Responsible AI and bias mitigation strategies Soft Skills Strong problem-solving and analytical thinking Excellent written and verbal communication skills Willingness to learn and adapt in a fast-paced, AI-evolving environment Ability to mentor junior developers and contribute to tech strategy Education Bachelors or Masters degree in Computer Science, Engineering, or related field Preferred Certifications (Not Mandatory) : OpenAI Developer or Azure AI Certification Oracle Certified Java Professional AWS/GCP Cloud Certifications (ref:hirist.tech)

Cloudbase is Hiring for multiple roles with Kore.AI skills Operations Leads with 7 to 10 years of experience Kore.AI Architects - 5 to 8 years experience Kore.AI developers - 3 to.5 years experience. Summary We are looking for a proactive and experienced Operations Lead to manage day-to-day operations, maintenance, and governance of our Conversational AI solutions built using Kore.AI, MS Azure OpenAI, and supporting technologies like Python, Node.js, JavaScript, and ReactJS. We are also looking for Architects and developers with Kore.AI expertise.The ideal candidate will have strong hands-on expertise in the Kore.AI platform, cloud-native architecture (preferably Azure), and a proven track record in chatbot implementations across multiple business functions. Required Skills • Strong foundation in dialog task design, NLP/NLU optimization, context management, and bot orchestration. • Proficient in Node.js/JavaScript/Python and building serverless functions (preferably in Azure). • Experience with Azure ecosystem – Azure OpenAI, Azure Functions, Key Vault, App Insights, Storage, etc. • Strong understanding of REST APIs, authentication methods (OAuth2.0, JWT), and secure integration patterns. • Excellent communication, leadership, and stakeholder management skills. Preferred Skills • Knowledge of front-end tech (HTML/CSS/ReactJS) is a plus. • Certification in Kore.AI, Azure Architecture, or AI/ML is a strong plus. if interested , please apply and we shall reach out to you for details.