84 Rasa Jobs - Page 3

Location: Ahmedabad (On-site) Experience: 3+ Years Employment Type: Full-time About Us: Wonqy Media is a fast-growing digital product studio specializing in eCommerce and custom web development. We’re currently building innovative Shopify apps and exploring the power of AI to speed up development and create smarter experiences. We’re looking for a Full Stack Developer who is not only skilled in traditional stacks like React, Node.js, and Python, but also enthusiastic about working with AI technologies. Responsibilities: Develop and maintain custom Shopify apps (public/private). Build performant, responsive UIs using React.js , Next.js , and Remix . Create and manage backend services using Node.js and Python . Work on AI-powered features , including chatbots, recommendation engines, and data automations. Leverage AI tools (e.g., GitHub Copilot, ChatGPT, LangChain, etc.) to boost development speed and code quality. Integrate APIs, webhooks, and third-party services. Collaborate with UI/UX designers, product managers, and fellow developers. Write clean, scalable, and maintainable code with proper documentation. Requirements: 3+ years of full stack development experience. Strong hands-on experience in Shopify app development . Solid foundation in React.js , JavaScript/TypeScript. Backend expertise in Node.js and Python . Familiarity with Shopify APIs , Polaris design system, and Liquid templates. Comfortable working with databases (MongoDB, PostgreSQL, etc.). Experience working with or integrating AI APIs (OpenAI, Google PaLM, etc.). Familiarity with AI tools to assist in rapid prototyping and smart development. Good understanding of performance optimization, security, and best practices. Bonus Points For: Experience building AI chatbots using NLP libraries or platforms like OpenAI, Rasa, Dialogflow, etc. Knowledge of LangChain , vector databases , or embedding models . Previous work on published Shopify apps. Understanding of cloud deployments (AWS, Vercel, etc.). What We Offer: An opportunity to work on cutting-edge AI + eCommerce projects. In-house, collaborative work culture with real ownership of projects. Skill-building in AI, automation, and emerging technologies. Competitive salary based on experience. To Apply: Send your resume, GitHub/portfolio link, and a note on any AI or Shopify-related projects you've worked on https://wonqymedia.com/work-with-us/ Show more Show less

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You! Show more Show less

Description: Strong experience in ETL development, data modeling, and managing data in large-scale environments. - Proficient in AWS services including SageMaker, S3, Glue, Lambda, and CloudFormation/Terraform. - Hands-on expertise with MLOps best practices, including model versioning, monitoring, and CI/CD for ML pipelines. - Proficiency in Python and SQL; experience with Java is a plus for streaming jobs. - Deep understanding of cloud infrastructure automation using Terraform or similar IaC tools. - Excellent problem-solving skills with the ability to troubleshoot data processing and deployment issues. - Experience in fast-paced, agile development environments with frequent delivery cycles. - Strong communication and collaboration skills to work effectively across cross-functional team Role & responsibilities Preferred candidate profile

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–5 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Location : Mohali, Punjab Show more Show less

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–4 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Experience: AI: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

We’re looking for an AI/ML Full Stack Engineer who can implement our end-to-end, AI-powered solutions. What You’ll Do 1. Build & Integrate AI Solutions * Develop, train, and maintain machine learning models (e.g., NLP, recommendation engines) for personalized product recommendations and conversational interfaces. * Implement scalable pipelines to process and analyze large datasets (product data, user interactions, logs). 2. Full Stack Development * Design REST or GraphQL APIs to power real-time conversational interactions. * Build frontend components (React, Vue.js, or similar) to embed chat widgets, voice interfaces, and AI-driven product discovery features. * Optimize backend services (Node.js, Python, or Go) for performance and reliability, ensuring smooth customer experiences across web and mobile. 3. Conversational Flow & Orchestration * Collaborate with Product and UX teams to design user-centric conversational flows, ensuring they align with brand voice. * Evaluate and integrate state-of-the-art NLP libraries and frameworks (e.g., SpaCy, Hugging Face Transformers, Rasa, LangChain) for intent detection, sentiment analysis, and context management. 4. Data Engineering & Infrastructure * Work with DevOps to deploy models and services on cloud platforms (AWS, GCP, Azure) using container orchestration (Docker, Kubernetes). * Implement CI/CD pipelines for seamless deployments and continuous model updates. * Ensure robust data security and privacy in compliance with relevant regulations (GDPR, CCPA). 5. Cross-Functional Collaboration * Partner with product managers, designers, and other engineers to define technical solutions that delight users and scale effectively. * Participate in code reviews, architectural planning, and knowledge-sharing sessions. What We’re Looking For 1. Technical Expertise * Hands-on experience in AI/ML (NLP, recommendation systems, or similar). * Strong background in a modern backend language (Python, Node.js, Go, or Java) and comfortable with frontend frameworks (React, Vue.js, or Angular). * Experience with cloud services (AWS, GCP, or Azure) for deploying and scaling AI-driven applications. * Familiarity with database technologies like (Graph/SQL/NoSQL) and data warehousing solutions. * Understanding of ML Ops practices—model versioning, A/B testing, monitoring, and retraining pipelines. 2. Conversational AI & NLP * Experience building chatbots or voice assistants using frameworks such as Rasa, Botpress, Dialogflow, Watson Assistant, or similar. * Knowledge of transformer-based models (GPT, BERT, etc.) for advanced NLP tasks. * Familiarity with text embeddings, intent classification, entity extraction, and sentiment analysis. 3. Full Stack Mindset * Comfortable diving into frontend code for chat/voice UI components. * Ability to build and maintain robust APIs that support real-time, conversation-driven interactions. 4. Bonus Points * Knowledge in eCommerce, recommendation systems, or retail AI solutions. * Exposure to LangChain, LLM fine-tuning, or generative AI approaches. * Background in UI/UX or knowledge of conversational design best practices. Join a fast-paced team where you can grow your ML and full stack skills. Job Type: Full-time Pay: ₹250,000.00 - ₹300,000.00 per year Schedule: Monday to Friday Work Location: In person Expected Start Date: 10/06/2025

About FPL Technologies Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user. The Engineering Challenge “Re-imaging credit and payments from First Principles” Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies. Job Title: Team Lead - Python Chatbot Developer Opportunity: This role is ideal for a highly motivated professional who thrives in leadership roles while staying technically engaged. If you’re passionate about building and leading teams to create cutting-edge conversational AI solutions, we’d love to hear from you. What you will do: Lead, mentor, and manage a team of chatbot developers to deliver robust and scalable conversational AI solutions. Stay hands-on with development, contributing to architecture design, coding, and troubleshooting as required. Collaborate with stakeholders to define project requirements, timelines, and deliverables. Oversee the development of chatbots using frameworks like Rasa, Dialogflow, Hugging Face, and machine learning models. Ensure the quality, performance, and scalability of chatbot solutions by performing regular code reviews and system evaluations. Facilitate team skill development in technologies such as Python, Flask, REST APIs, SQL, TensorFlow, and PyTorch. Optimize chatbot models by fine-tuning pre-trained models and integrating NLP best practices. Foster collaboration within the team to encourage knowledge-sharing and innovation. Monitor project progress, manage risks, and ensure timely delivery of deliverables. Stay updated on industry trends in AI/ML, NLP, and chatbot development and introduce innovative solutions. Experience Range : 6+ years of experience in chatbot development and conversational AI technologies, of which last 2-4 years has been as a Team Lead of a Rasa project Technical Expertise: Strong expertise in Python, Tensorflow, Rasa, Flask, RESTful APIs, and SQL. Hands-on experience with Rasa, Dialogflow, and fine-tuning models using Hugging Face, TensorFlow, or PyTorch. Solid understanding of NLP concepts and their application in chatbot systems. Proven leadership skills with experience managing a team of developers. Excellent problem-solving, communication, and collaboration skills. Ability to drive projects from concept to completion with minimal supervision. Experience in scaling, detecting bottlenecks in tensorflow training, deployment and production issues. Knowledge of distributed systems and caching technologies Experience with benchmarking models Experience in multi-modal models FPL Technologies is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender ,disability. Show more Show less

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–4 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Experience: AI: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Job Description: Conversational Analyst Role Overview We are looking for a Conversational Analyst with 2-3 years of experience in designing and enhancing chat and voice user experiences. This role requires a deep understanding of user context, a strong focus on quality assurance, and a passion for creating impactful conversational solutions. The ideal candidate will play a critical role in identifying problems, testing conversational flows, and ensuring a seamless user journey before deployment. Over time, the selected candidate will gain exposure to advanced technologies, including Large Language Models (LLMs) , Bhasa Infrastructure , Automatic Speech Recognition (ASR) , and Text-to-Speech (TTS) systems. Key Responsibilities Context Analysis and Problem Solving : Understand user needs, identify issues in existing conversational flows, and propose enhancements to improve the overall user experience. Testing and Validation : Rigorously test chat and voice user experiences for functionality, usability, and contextual accuracy before they are deployed to production. Collaboration with Data Scientists : Work closely with data scientists to analyze conversational data, identify patterns, and improve conversational AI models and flows. Conversation Flow Optimization : Analyze and refine conversational designs to ensure natural and seamless interactions for both chat and voice-based systems. Data Analysis and Reporting : Use analytics tools to monitor and report on user behavior and feedback, offering actionable insights to improve conversation designs. Learning and Development : Gradually build expertise in advanced conversational AI technologies, including LLMs, ASR, TTS, and the Bhasa infrastructure. Requirements Key Skills and Qualifications 2-3 years of experience working in conversational design, chatbot/voice assistant testing, or a related field. Strong understanding of chat and voice UX principles and best practices. Hands-on experience in testing conversational flows and troubleshooting user interaction issues. Analytical mindset with the ability to interpret user behavior and provide actionable insights. Excellent communication and collaboration skills to work effectively with data scientists and technical teams. Knowledge or exposure to conversational AI tools and platforms (e.g., Dialogflow, Rasa, or similar). Nice-to-Have Skills Familiarity with Large Language Models (LLMs) and their applications. Exposure to technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). Understanding of the Bhasa infrastructure or similar conversational AI ecosystems. Basic programming or scripting knowledge for prototyping/testing purposes. Benefits What We Offer Opportunity to work on cutting-edge conversational AI projects. Hands-on exposure to advanced technologies like LLMs, ASR, and TTS. Collaborative and innovative work environment. Professional development and upskilling opportunities. Competitive salary and benefits. If you are passionate about building intuitive conversational experiences and are eager to grow with a company that values innovation and data-driven design, we would love to hear from you. Show more Show less

Job Type Full-time Description Why Birdeye? Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye’s AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive. At Birdeye, innovation isn't just a goal – it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2. Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who’s who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR. Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence & engagement, customer experience, and growth. We provide innovative solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to join our dynamic Product team. This role is critical in driving our product strategy, focusing on creating a platform that would connect companies with local customers through search, discovery, engagement and conversion. The ideal candidate will possess a strong blend of strategic thinking, analytical skills, user-centric product development with experience in a high-growth SaaS or B2B company having customers in the US. Experience in managing a Listings or a SEO product will be preferred What You'll do? Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence & engagement, customer experience, and growth. We provide innovative AI-driven solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to lead our AI Chatbot initiatives. This role is pivotal in leveraging advanced AI technologies, including Generative AI (GenAI) and custom Large Language Models (LLMs), to create a state-of-the-art chatbot experience. The ideal candidate will have a strong blend of strategic thinking, analytical skills, and a deep understanding of AI- centric product development. This role will focus on integrating the latest AI models and technologies to enhance user engagement, deliver exceptional customer experiences, and drive business growth. Product Strategy: Develop and execute a comprehensive product strategy that aligns with Birdeye’s growth objectives. Roadmap Development: Define and manage the product roadmap, prioritizing features and initiatives based on business impact and data analysis. AI Integration: Collaborate with data scientists and engineers to integrate cutting-edge AI technologies, including Generative AI models and custom LLMs, into the chatbot, enhancing its capabilities and performance. Cross-Functional Collaboration: Work closely with engineering, design, marketing, and sales teams to ensure seamless product development and launch. Data analysis: Conduct user research and leverage data analytics to gain insights into user behavior and preferences. Experimentation: Design and run A/B tests and other experiments to validate hypotheses and optimize chatbot performance. Market Analysis: Stay informed about industry trends, competitive landscape, and emerging technologies to inform product decisions. Metrics and Reporting: Define key performance indicators (KPIs) and regularly report on product performance, making data-driven recommendations for improvement. Data Review: Review and provide feedback on annotated data to ensure the quality and accuracy of AI model training datasets. What do we need? Strategic Thinker: Ability to see the big picture and align product initiatives with business goals. Analytical Mindset: Strong data analysis skills with the ability to interpret complex data sets and make informed decisions. AI Expertise: Deep understanding of AI technologies, including Generative AI, custom LLMs, and natural language processing (NLP). User-Centric: Deep empathy for users, with a passion for solving their problems and enhancing their experience. Collaborative: Excellent communication and interpersonal skills, with a proven track record of working effectively in cross-functional teams. Innovative: Creative problem solver who can think outside the box and drive innovation. Results-Oriented: Strong focus on achieving measurable outcomes and driving continuous improvement. Leadership: Ability to inspire and lead teams, fostering a culture of collaboration and high performance. Requirements Bachelor’s degree in a relevant field; MBA or advanced degree preferred. 8+ years of product management experience, with a focus on AI and chatbot technologies. Proven track record of successfully managing and launching AI-driven products in a fast- paced environment. Experience with A/B testing, user research, and data analytics tools. Experience with project management and roadmap management tools. Strong understanding of AI, including Generative AI models, custom LLMs, machine learning algorithms, NLP, and product-led growth principles and strategies. AI Skill Sets and Technologies: Proficiency in natural language processing (NLP), machine learning algorithms, Generative AI models (e.g., GPT-4, Gemini), chatbot frameworks (e.g., Dialogflow, Rasa), and cloud services (e.g., AWS, Google Cloud). Ability to review and provide feedback on annotated data. Why You'll Join Us: At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals – we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication. Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference – we make it happen Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. What’s the role all about? Serve as one of the top-performing and most proficient engineers in designing, producing, and testing high-quality software that meets specified functional and non-functional requirements within the time and resource constraints given. How will you make an impact? Develop software feature(s) according to requirements specifications. Develop Innovative ideas to address complex issues or future functionality. Provide optimum solutions to complex problems by implementing best industry practices. Ensure the intended design and quality levels are met through regular code reviews and testing of the software in-development. Lead the end-to-end implementation and support of the software through leading by example to ensure complete quality coverage and high degrees of responsiveness to any issues that come up throughout the complete lifecycle of the software. Planning and performing unit testing to ensure fit to design/requirements and perform automation. Possess good communication and presentation skills. Provide L3 support for issues raised in Prod and lower environments. Have you got what it takes? Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute. 2+ years of application programming experience. Extensive experience in PHP v 8.x, MySQL and willing to learn new technologies. Good to have knowledge in AWS services and tools (Elastic Search, Redis, RabbitMQ, Jenkins, S3, Doctrine, Slim). Experience in development using PHP frameworks like Symfony, Slim, CodeIgniter, Laravel. Development experience in JavaScript, TypeScript, Angular/ReactJS, will be added plus. Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP. Experience in building applications using tools like PHP Unit, Docker, Composer. In-depth experience in GIT commands and skillful usage of GIT source control. Well versed with CI/CD pipelines (Jenkins, Ansible, GitHub Actions) Good understanding of design patterns and experience in implementing the same (Factory, Adapter). Experience in developing with REST API, API Authorization & Micro services. Worked in high performance, highly available and scalable Enterprise applications. Strong knowledge of OOAD and Design patterns. Development experience building solutions that leverage SQL and NoSQL databases. Experience designing and developing scalable multi-tenant SaaS-based solutions. You will have an advantage if you also have: Bring a culture of Innovation to the job. Exposure to designing serverless applications in Cloud (AWS) Experience in building applications in Contact Center Domain. Experience in leveraging Gen AI services while providing solutions. Rasa What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7028 Reporting into: Tech Manager Role Type: Individual Contributor About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

POCKYDOC Your Pocket-sized Health Partner Job Title: WhatsApp Business Integration Specialist - Intern (PockyDoc) About the Role: We’re seeking a WhatsApp Business Integration Specialist to bring PockyDoc’s mission of accessible, intelligent family healthcare into the palm of every user’s hand. You will architect and implement WhatsApp-based workflows that allow users to book consultations, schedule home visits, access health summaries, and engage with our platform — all within the WhatsApp interface. Think Bank-style WhatsApp automations — but for healthcare. Responsibilities: Set up and manage WhatsApp Business API via Meta Cloud API or providers like Twilio, Gupshup, or 360dialog Build interactive flows for: Doctor onboarding Patient consultations Home visit requests Feedback and follow-ups Connect WhatsApp to PockyDoc's website, mobile app , and internal CRM via backend APIs Create secure user journeys that include button clicks, smart replies, and web/app redirects Automate feedback collection , consult summaries , and appointment reminders Ensure data security and healthcare compliance (HIPAA-style best practices for India) Set up fallback support routing for human escalation Collaborate with design, strategy, and tech teams to reflect PockyDoc’s voice and vision Required Skills: Experience with WhatsApp Business API Proficiency in Node.js or Python Familiarity with webhooks, chat automation, and JSON message templates Strong understanding of tools like Twilio, 360dialog, WATI, Gupshup, or Meta Cloud API Understanding of data protection in healthcare/fintech sectors Ability to design seamless chat UX with quick replies, CTAs, and deep links Bonus: NLP and AI experience with ChatGPT, Rasa, Dialogflow, etc. Output Goals: Launch key WhatsApp flows by July 1, 2025 (Doctor's Day) Enable onboarding, scheduling, and summary delivery via WhatsApp Integration of ABHA login, Aadhaar/insurance document handling Future readiness for multilingual support and voice commands  Bonus if you have: Experience in telehealth, fintech , or family-tech Knowledge of Indian digital health stack (ABHA, DigiLocker, NDHM) Start-up spirit and rapid iteration ability Stipend: 8-10K INR This is a temporary project-based role. Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. What’s the role all about? Serve as one of the top-performing and most proficient engineers in designing, producing, and testing high-quality software that meets specified functional and non-functional requirements within the time and resource constraints given. How will you make an impact? Develop software feature(s) according to requirements specifications. Develop Innovative ideas to address complex issues or future functionality. Provide optimum solutions to complex problems by implementing best industry practices. Ensure the intended design and quality levels are met through regular code reviews and testing of the software in-development. Lead the end-to-end implementation and support of the software through leading by example to ensure complete quality coverage and high degrees of responsiveness to any issues that come up throughout the complete lifecycle of the software. Planning and performing unit testing to ensure fit to design/requirements and perform automation. Possess good communication and presentation skills. Provide L3 support for issues raised in Prod and lower environments. Have you got what it takes? Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute. 7+ years of application programming experience. Extensive experience in PHP v 8.x, MySQL and willing to learn new technologies. Good to have knowledge in AWS services and tools (Elastic Search, Redis, RabbitMQ, Jenkins, S3, Doctrine, Slim). Experience in development using PHP frameworks like Symfony, Slim, CodeIgniter, Laravel. Development experience in JavaScript, TypeScript, Angular/ReactJS, will be added plus. Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP. Experience in building applications using tools like PHP Unit, Docker, Composer. In-depth experience in GIT commands and skillful usage of GIT source control. Well versed with CI/CD pipelines (Jenkins, Ansible, GitHub Actions) Good understanding of design patterns and experience in implementing the same (Factory, Adapter). Experience in developing with REST API, API Authorization & Micro services. Worked in high performance, highly available and scalable Enterprise applications. Strong knowledge of OOAD and Design patterns. Development experience building solutions that leverage SQL and NoSQL databases. Experience designing and developing scalable multi-tenant SaaS-based solutions. You will have an advantage if you also have: Bring a culture of Innovation to the job. Exposure to designing serverless applications in Cloud (AWS) Experience in building applications in Contact Center Domain. Experience in leveraging Gen AI services while providing solutions. Rasa What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7027 Reporting into: Tech Manager Role Type: Individual Contributor About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

Responsibilities: Build and fine-tune AI models. Integrate and optimize NLP frameworks (e.g., LangChain, OpenAI GPT, HuggingFace) for 2-way communication between user and avatar. Develop and manage prompt engineering logic for multilingual voice & text conversations. Design knowledge ingestion pipelines to feed AI with datasets and digitized books. Build accuracy benchmarking tools using top data cross-verification. Collaborate with frontend, backend, and avatar teams to ensure seamless voice/text response sync. Continuously improve prediction accuracy through feedback loops, user queries, and new data integration. 🧠 Required Skills: Strong experience with Python, TensorFlow/PyTorch, and AI model building Proficiency in NLP frameworks (e.g., OpenAI API, LangChain, Rasa, Hugging Face) Familiarity with voice-to-text (Whisper) and text-to-speech (e.g., ElevenLabs, Google TTS) Experience working with structured & unstructured data ingestion (CSV, PDFs, books, APIs) Understanding concepts or willingness to learn quickly Strong prompt engineering & cus tom model tuning experience

Dear Candidate, Greetings From Binary Semantics Ltd!! Immediate Hiring For AI Chatbot Developer - Gurgaon(WFO) About Product: Chatbot: AI chatbots have become instrumental in revolutionizing various industries, including insuretech, taxation, and fleet management. In the insuretech sector, AI chatbots are employed to enhance customer interactions, providing instant assistance with policy inquiries, claims processing, and policy renewals. These chatbots leverage natural language processing to understand and respond to customer queries, improving the overall customer experience and reducing response times. In taxation, AI chatbots streamline complex processes by assisting users with tax-related questions, helping them navigate tax regulations, and providing real-time updates on changes in tax laws. These chatbots can guide users through the filing process, ensuring accuracy and compliance while simplifying the overall tax experience. Fleet management benefits from AI chatbots by automating communication and decision-making processes. Chatbots in this context can provide real-time information on vehicle locations, maintenance schedules, and fuel consumption. They enable efficient coordination of fleet activities, optimizing routes, and addressing maintenance issues promptly. This not only improves operational efficiency but also contributes to cost savings and enhanced safety. Python Developer (AI Chatbot) Education: Btech / Mtech Experience: 2-4yr Location: Gurgaon Notice Period : Immediate or Max to max 10-15 days only Job Description: Developing chatbots and voice assistants on various platforms for diverse business use-cases Work on a chatbot framework/architecture using an open-source tool or library Implement Natural Language Processing (NLP) for chatbots Integration of chatbots with Management Dashboards and CRMs Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process Ability to understand business requirements and translate them into technical requirements Open-minded, flexible, and willing to adapt to changing situations Ability to work independently as well as on a team and learn from colleagues Ability to optimize applications for maximum speed and scalability Skills Required: Minimum 2+ years of experience in Chatbot Development using any open-source framework (eg Rasa, Botpress) Experience with both text-to-speech and speech-to-text Should have a good understanding of various Chatbot frameworks/platforms/libraries Experience with integration of bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc. Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bot's design Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Knowledge of either SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL Interested candidate may share their resume on below mentioned email id with details: Juhi.khubchandani@binarysemantics.com Total Exp: Exp in Chatbot development: Exp in RASA: CTC: ECTC: NP: Location: Ready for Gurgaon(WFO): Regards, Juhi Khubchandani Talent Acquisition Binary Semantics Ltd. Show more Show less

About the Role Orange MonkE is on the lookout for an AI Agent Builder who can help us automate internal processes, build intelligent chatbots , and develop research bots to empower our team, enhance operational efficiency, and unlock new levels of scalability. This is a hands-on technical role for someone who understands the power of LLMs, automation tools, APIs, and AI-first workflows — and wants to shape the future of work, one AI agent at a time. Your Key Responsibilities Build, test, and deploy AI agents to automate internal workflows (e.g., reporting, scheduling, data extraction, onboarding, task tracking) Develop AI-powered chatbots that can be used for sales, customer support, and internal queries Create research agents that can gather and summarize data from multiple sources (web, documents, knowledge bases) Integrate agents with tools we use (Slack, Notion, Google Workspace, Trello, Airtable, etc.) Collaborate with different departments to identify repetitive or manual tasks and automate them Ensure AI agents are scalable, reliable, and easy to maintain Continuously optimize AI workflows to reduce human dependency and improve turnaround time Skills & Tools You Should Be Great At Experience with AI automation tools like LangChain, AutoGPT, AgentGPT, Flowise, Zapier, Make.com, Relevance AI, or Crew AI Good understanding of LLMs (OpenAI, Claude, Gemini, etc.) and how to prompt or fine-tune them Ability to connect APIs and build low-code/no-code automations Solid knowledge of Python and JS (preferred) for custom agent scripting Experience in building and maintaining chatbots using Dialogflow, Rasa, or GPT-powered tools Knowledge of web scraping, structured data extraction, and automation scripts Familiarity with Google Workspace, Slack bots, Notion APIs, and internal SaaS tool integrations Strong documentation habits — so others can reuse your work easily Traits That’ll Make You a Great Fit You're self-driven and solutions-focused — you spot inefficiencies and fix them You're curious about how AI can optimize real-world work You think in systems and love making things run without human intervention You’re not just an implementer — you collaborate, ideate, and improve workflows You’re comfortable in a fast-moving digital agency environment What’s in It for You Be the backbone of Orange MonkE’s AI-powered future Work directly with leadership to impact productivity and profitability Gain visibility across global projects and teams Flexible working hours with autonomy to experiment and build Competitive compensation + opportunity for performance-based bonuses 📩 Apply at: info@orangemonke.com 📌 Subject: AI Agent Builder Show more Show less

We're Hiring: Python Developer – AI & WordPress Systems Location: In-office, Vyttila, Kochi, Kerala Department: Tech & Marketing Salary: ₹15,000 – ₹30,000/month Start Date: 11/06/2025 Own laptop with good configuration is a must Role Overview Autobacs India is looking for a skilled and motivated Python Developer with WordPress expertise , who is passionate about AI automation, chatbot development , and web system optimization . This hybrid technical role combines backend Python scripting with hands-on WordPress development to power AI-driven customer experiences and internal process automation. Key Responsibilities Daily Tasks Maintain and enhance the WordPress website (frontend/backend using Elementor, themes, plugins). Develop and deploy AI-powered chatbots for: Customer support Product recommendations Lead generation Integration with Instagram & WhatsApp Manage plugin updates, security patches, and performance optimizations. Automate internal workflows (e.g., lead tracking, reporting) using Python. Debug system issues across platforms and provide quick resolutions. Weekly/Monthly Tasks Improve chatbot conversational responses using data feedback. Collaborate with the marketing team on banners, landing pages, and campaign integrations. Optimize site SEO, manage analytics, and track performance (GTM, GA4). Run backend automation scripts to streamline internal operations. Coordinate with hosting providers for server tasks, backups, and cloud maintenance. Skills Required Strong coding skills in Python (min. 3 years’ experience). Hands-on experience with WordPress development (themes, plugins, Elementor). Proficiency in HTML, CSS, JavaScript, MySQL . Experience in API integration (Meta, WhatsApp, OpenAI, Google, etc.). Familiarity with chatbot tools like Dialogflow, Rasa, or GPT APIs . Version control: Git . Bonus: Experience with webhooks and automation tools like Zapier, Make, etc. Knowledge Areas Chatbot design and conversational logic. Website and data security best practices. Server/Cloud basics (e.g., cPanel, cloud backups). SEO principles and tools (Yoast, RankMath, Google Analytics/Tag Manager). UI/UX best practices for user-focused improvements. Who You Are A self-driven problem-solver with strong initiative. Detail-oriented and organized in your workflow. Passionate about AI, automation, and delivering tech solutions. A fast learner who thrives in fast-paced environments. A collaborative team player, yet independent in execution. What Motivates You Building intelligent systems that solve real-world problems. Staying ahead in Python, AI tools, and marketing tech stacks. Contributing to a growing brand in the automotive aftermarket industry. Taking ownership of your work and scaling your impact. Job Details Job Type: Full-time, Permanent Work Mode: In-office (Vyttila, Kochi, Kerala) Schedule: Day shift Compensation: ₹15,000 – ₹30,000/month Bonuses: Performance bonus + Yearly bonus Requirements Experience: Minimum 3 years in Python development (Required) Laptop: Must bring own system with good configuration Language: English (Preferred) Relocation: Must be able to commute or relocate to Kochi Ready to join our fast-scaling automotive tech team? Apply now and help us transform the way India experiences AI and automation in the aftermarket industry. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Vyttila, Kochi, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Required) Language: English (Preferred) Location: Vyttila, Kochi, Kerala (Preferred) Work Location: In person Application Deadline: 10/06/2025 Expected Start Date: 11/06/2025

We're Hiring: Python Developer – AI & WordPress Systems Location: In-office, Vyttila, Kochi, Kerala Department: Tech & Marketing Salary: ₹15,000 – ₹30,000/month Start Date: 11/06/2025 Own laptop with good configuration is a must Role Overview Autobacs India is looking for a skilled and motivated Python Developer with WordPress expertise , who is passionate about AI automation, chatbot development , and web system optimization . This hybrid technical role combines backend Python scripting with hands-on WordPress development to power AI-driven customer experiences and internal process automation. Key Responsibilities Daily Tasks Maintain and enhance the WordPress website (frontend/backend using Elementor, themes, plugins). Develop and deploy AI-powered chatbots for: Customer support Product recommendations Lead generation Integration with Instagram & WhatsApp Manage plugin updates, security patches, and performance optimizations. Automate internal workflows (e.g., lead tracking, reporting) using Python. Debug system issues across platforms and provide quick resolutions. Weekly/Monthly Tasks Improve chatbot conversational responses using data feedback. Collaborate with the marketing team on banners, landing pages, and campaign integrations. Optimize site SEO, manage analytics, and track performance (GTM, GA4). Run backend automation scripts to streamline internal operations. Coordinate with hosting providers for server tasks, backups, and cloud maintenance. Skills Required Strong coding skills in Python (min. 3 years’ experience). Hands-on experience with WordPress development (themes, plugins, Elementor). Proficiency in HTML, CSS, JavaScript, MySQL . Experience in API integration (Meta, WhatsApp, OpenAI, Google, etc.). Familiarity with chatbot tools like Dialogflow, Rasa, or GPT APIs . Version control: Git . Bonus: Experience with webhooks and automation tools like Zapier, Make, etc. Knowledge Areas Chatbot design and conversational logic. Website and data security best practices. Server/Cloud basics (e.g., cPanel, cloud backups). SEO principles and tools (Yoast, RankMath, Google Analytics/Tag Manager). UI/UX best practices for user-focused improvements. Who You Are A self-driven problem-solver with strong initiative. Detail-oriented and organized in your workflow. Passionate about AI, automation, and delivering tech solutions. A fast learner who thrives in fast-paced environments. A collaborative team player, yet independent in execution. What Motivates You Building intelligent systems that solve real-world problems. Staying ahead in Python, AI tools, and marketing tech stacks. Contributing to a growing brand in the automotive aftermarket industry. Taking ownership of your work and scaling your impact. Job Details Job Type: Full-time, Permanent Work Mode: In-office (Vyttila, Kochi, Kerala) Schedule: Day shift Compensation: ₹15,000 – ₹30,000/month Bonuses: Performance bonus + Yearly bonus Requirements Experience: Minimum 3 years in Python development (Required) Laptop: Must bring own system with good configuration Language: English (Preferred) Relocation: Must be able to commute or relocate to Kochi Ready to join our fast-scaling automotive tech team? Apply now and help us transform the way India experiences AI and automation in the aftermarket industry. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Vyttila, Kochi, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Required) Language: English (Preferred) Location: Vyttila, Kochi, Kerala (Preferred) Work Location: In person Application Deadline: 10/06/2025 Expected Start Date: 11/06/2025

Job Summery: We are seeking an innovative AI Engineer to develop and integrate AI assistants and automation with auto-trading systems. The ideal candidate has strong expertise in Generative AI, LLMs, NLP, and conversational AI. Responsibilities include designing NLP-powered agents, building AI-driven trading automation, fine-tuning models, creating trade-execution scripts, ensuring system reliability, and collaborating with backend and quantitative teams for seamless trade execution. key accountabilities and activities: Design and fine-tune generative AI models and LLMs for conversational agents and workflows. Develop and maintain intelligent financial chatbots with multi-turn, context-aware conversations. Optimize prompt engineering and dialogue management to improve output quality and safety. Build NLP pipelines for tasks like classification, entity extraction, and sentiment analysis. Create autonomous AI agents and microservices for automated trading workflows. Collaborate with quantitative analysts and backend teams to integrate AI signals with trade execution. Integrate AI features via APIs across various backend systems. Monitor, optimize, and implement fail-safes for AI models and trading automation. Perform rigorous testing and quality assurance, including rollback plans. Research and apply latest AI and fintech innovations. Perform additional duties as assigned by management. Core Competencies Summary: Expertise in designing, fine-tuning, and deploying Large Language Models (e.g., GPT-3/4) and generative AI frameworks. Skilled in prompt engineering to optimize AI responses, especially for financial applications. Experience building conversational AI/chatbots with domain-specific knowledge. Proficient in NLP techniques: classification, entity extraction, sentiment analysis, intent detection. Familiar with AI agent frameworks and orchestration tools (LangChain, Rasa). Strong backend and API integration skills (REST, GraphQL) across Python, Node.js, Java. Experience with cloud AI platforms (OpenAI, Anthropic, AWS, Google Vertex AI). Knowledge of vector databases and retrieval augmented generation (Pinecone, FAISS). Skilled in monitoring, performance optimization, and AI model testing/QA. Research-driven, staying updated on AI/NLP trends and innovations. Excellent communication and collaboration abilities. Advanced proficiency in English. Job Specifications: Industry/Domain: AI & Machine Learning in Capital Markets and Trading Automation Experience: Multilingual/low-resource NLP, DevOps tools, AI deployment, ethical AI, prompt security, data privacy Education: Bachelor’s or Master’s in Computer Science, AI, Machine Learning, Data Science, or related field Show more Show less

Dollfine Hospitality & Leisure is a leading cloud kitchen and catering brand in Hyderabad, offering high-quality food experiences through multiple F&B brands including Azaad’s Army Kitchen, Rasa Catering, Cold PRSD, and more. We specialize in both retail and bulk catering for events, hostels, PGs, and corporates We are looking for a field marketing executive to drive catering sales by building partnerships with banquet halls, hostels, PGs, and corporates. The role involves on-ground lead generation, relationship building, and converting catering orders for small and large gatherings. Key Roles & Responsibilities: Visit banquet halls, hostels, PG accommodations, and event spaces across Hyderabad to generate leads Pitch catering services to event managers, hostel owners, and corporate facilities Follow up with leads and convert inquiries into orders Coordinate with internal kitchen and operations teams for event execution Promote Rasa Catering and other Dollfine F&B brands for bulk meal orders Distribute marketing materials, menus, and promotional offers in target areas Maintain a lead tracker and submit weekly performance reports Skills & Qualifications:  3–5 years of field sales/marketing experience (F&B, catering, events, or hospitality preferred) Strong communication and persuasion skills Must own a two-wheeler and be comfortable with city travel Ability to work independently and meet sales targets Basic knowledge of catering and food service industry is a plus

Skill : Conversational Designer Experience : 3 years - 9 Years Location - PAN India Job Summary Role Overview: We are seeking a Senior Conversation Designer to design and optimize conversational experiences for AI assistants and chatbots. You’ll play a key role in creating seamless user interactions, collaborating with cross-functional teams, and contributing to innovative conversational solutions across diverse platforms. Qualifications 3–5 years of experience in designing chatbot and virtual assistant solutions. Bachelor’s or master’s degree. (Good to have the degrees in Linguistics, Script writing, Communications, Human-Computer interaction, UX Design, or any related field). Strong collaboration and communication skills for working with technical and non-technical stakeholders. Experience with user research, prototyping, and conversation flow design. Interest in emerging technologies like AI, ML and NLP to improve conversational experiences. Technical Expertise Proficiency in designing conversational flows using platforms such as Kore.AI, Dialogflow, Amazon Lex, Rasa, Voiceflow etc... Experience with NLP tools to improve intent recognition and user satisfaction (Good to have, not mandatory). Ability to analyze conversation data and optimize flows based on insights (Good to have, not mandatory). Familiarity with AI/ML applications for enhancing chatbot efficiency (Good to have, not mandatory). Skills Required Conversation and Chatbot Design expertise. Strong Interaction Design and User-Centric Design skills. Excellent English language proficiency with a focus on clarity and engagement. Problem-solving mindset with a user-first approach. Data analysis skills to interpret chatbot performance metrics. Ability to collaborate effectively across cross-functional teams. Job Description Design and prototype conversational flows for AI assistants and chatbot solutions. Collaborate with cross-functional teams including product managers, developers, and UX designers to ensure alignment with business goals. Analyze chatbot performance metrics to identify gaps and areas for improvement. Optimize dialogue flows for intent accuracy, reduced drop-offs, and better escalation workflows. Assist in user testing and feedback analysis to enhance conversational designs. Support localization efforts for multi-language chatbot deployments. Stay updated with industry best practices and emerging trends in conversation design. Document design decisions and create reusable templates for scalability. If you're passionate about shaping the future of AI-driven conversational experiences and thrive in collaborative, fast-paced environments, we'd love to hear from you! Show more Show less

Job Title: Product Analyst – Conversational AI Solutions How to Apply? Send your resumes to hr@whitemastery.com Role Overview We’re seeking a data-driven, detail-oriented Product Analyst to support the delivery, performance optimization, and continuous improvement of our AI-powered voicebot and chatbot solutions. You’ll play a key role in analyzing user interactions, identifying trends, and helping shape product decisions that drive real-world impact across industries like Real Estate, Telecom, Hospitality, Healthcare, and Logistics. As a Product Analyst, you’ll work at the intersection of data, product, and customer experience—ensuring our conversational AI products are delivering maximum value and continuously evolving based on user behavior and client feedback. Key Responsibilities Product Performance Analysis Analyze bot performance data across platforms (WhatsApp, Web, IVR, etc.) to identify friction points and optimization opportunities. Monitor key metrics such as containment rate, engagement rate, NLU accuracy, and user satisfaction. Build dashboards and reports that provide actionable insights for internal teams and clients. User Behavior & Feedback Insights Study conversational flows to understand user intent, drop-offs, and escalation triggers. Collect and synthesize client feedback to support product improvement efforts. Partner with AI trainers to refine NLP models and intent recognition based on analysis. Cross-functional Collaboration Work with product managers, solution engineers, and designers to enhance user experience based on data findings. Collaborate with customer success and delivery teams to prioritize feature requests and performance tuning. Support Implementation & Testing Assist in the testing and validation of new features and bot workflows prior to deployment. Ensure that product releases meet quality standards and are aligned with business goals. Client & Stakeholder Reporting Support client onboarding by presenting insights and expected ROI based on similar deployments. Provide regular reporting to clients highlighting key outcomes, adoption trends, and next steps. Required Skills & Qualifications 1–3 years of experience in product analytics, business analysis, or data analysis (preferably in SaaS or AI solutions). Strong analytical skills with proficiency in tools like Excel, SQL, Google Analytics, Mixpanel, or similar. Solid understanding of conversational AI, user journey mapping, and product performance metrics. Excellent communication and storytelling skills—ability to present data in a clear, actionable manner. Bonus: Experience with chatbot platforms (e.g., Dialogflow, Rasa), and analytics tools like Tableau, Power BI, or Looker. Job Type: Permanent Pay: ₹25,000.00 - ₹30,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics