1992 Chatbot Jobs - Page 27

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience in developing and deploying chatbots using natural language processing techniques.- Familiarity with image processing algorithms and techniques.- Solid grasp of software development practices and version control systems. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development of innovative AI solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Engineering Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Data Engineering.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Full Stack Angular, .NET, SQL, AWS, Azure Services, DevOps. AI/GenAI/RPA, Chatbots

About This Role Wells Fargo is seeking a Senior Process Engineer. This role is part of Human Resources Transformation and Products Team and services all lines of businesses under Human Resources. The Human Resources (HR) Process Excellence & Transformation team is seeking a Senior Process Engineer. This team defines, measures, improves, and governs HR business processes to deliver consistent, desired outcomes for our customers; manage our operations efficiently and effectively, and strengthen risk management and compliance; performs deep dive analysis of process design and performance to provide improvement solution that drives efficiency, effectiveness or our business processes and elevates employee experience. Critical thinking, understanding of emerging technologies (like AI, Gen AI, RPA, Chatbots), consulting, problem solving, decision making, strong communication and ability to work effectively in a fast-paced, ever-changing environments are key capabilities for this role. In This Role, You Will Develop and lead redesign initiatives that encompass analyses and future state redesigns Manage assigned complex initiatives involving multiple business process segments to identify risks Complete and lead integrated process analyses, identifying procedural and control deficiencies, opportunities, and recommending solutions Consult with team to understand, influence, adapt research, and create alternatives for consideration, drive results, and bring issues to resolution Make decisions and resolve issues to meet business objectives Interpret policies, procedures, and compliance requirements Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Interact with internal customers Receive direction from leaders and exercise independent judgment while developing the knowledge to understand function, policies, procedures, and compliance requirements Required Qualifications: 4+ years of Process Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Proven experience in developing and executing process improvement strategies, validating positive financial results through the establishment of performance tracking capabilities that drive process efficiency, effectiveness, and an improved customer experience. Adaptable and progressive learner with the ability to explain complex technical concepts to a variety of audiences Demonstrated ability to deliver relevant information to business partners and senior leaders in that persuades, educates, and enhances understanding. Ability to drive business awareness of quality/process management methodology and coach teams in process management and continuous process improvement and operational excellence. Demonstrated capability to manage multiple initiatives concurrently, recognizing the significance of competing priorities Skilled in the use of Business Process Management Notation (BPMN) software such as iGrafx Knowledge and understanding of Statistical Analysis software such as Minitab, SAS JMP Knowledge and understanding of Rapid Process Automation software such as Ui Path, Blue Prism Experience in Design Thinking and/or Human Centered Design (HCD) Change Management skills such as Prosci/ADKAR, PMP, CAPM or Agile Lean Six Sigma Black Belt and/or strong experience in consulting Intermediate Microsoft Office (Word, Outlook skills) Excellent business communication, storytelling, Powerpoint presentations and MS Excel skills Robust understanding of identification and application of AI, GenAI, RPA, Chatbot and other emerging technologies Job Expectations: Organizes, leads, and facilitates cross-LOB, enterprise-wide process design and re-engineering initiatives that will encompass an end-to-end analysis and future state redesign that requires specialized knowledge or skill critical to the redesign effort in a matrix leadership environment. Develops improvement approaches within businesses and across lines of businesses that are holistic, customer focused to understanding business processes, latest technologies and workflow through Wells Fargo Identifies and helps to prioritize new initiatives to drive business strategy, mitigate potential risks and control gaps, financial return, and/or positive customer impact. Develops root cause analysis and business case for proposed technology, staff, and structure changes, including cost estimates Establishes standards for measuring performance against process requirements - Including the development of metrics that provide data for process management indicators for future improvement opportunities Provides advanced statistical analysis for business leaders, project teams, and managers as required. In addition, provide basic and advanced measurement approaches and mechanisms to ensure we are managing the process and producing the designed results Shares the lessons learned and best practices with others throughout the organization, when appropriate, to further promote process management. Provides assistance in the development and advancement of our common enterprise Operational and Process Excellence framework, methods, techniques, tools, training, and language. Including the development of new process improvement techniques and services, as needed Drives business awareness of our common enterprise operational and process excellence methods, techniques, tools, etc May assist with the development of our enterprise Operational and Process Excellence Curriculum and Training Materials Provides assistance and leadership of our enterprise process improvement professional support services - Including the identification and management of resources, including cross-entity members, to successfully execute projects Provides consultation on the use of reengineering techniques to improve process performance and product quality (example but not limited to LEAN, SIX SIGMA, Design Thinking) Works with HR Business leaders, SMEs, Product Manager(s) and Sponsors to ensure proposed recommendations to improve business processes or address specific business problems are prioritized along with related activities, deliverables, and tools are integrated in the product roadmap Collaborate and partner with other enterprise programs or initiatives to help advance the goals of those efforts while advancing the culture of operational excellence Provide thought leadership in the area of process management and continuous process improvement, operational excellence, continuous improvement. Provide coaching and mentoring for other process engineers, process owners and managers, and/or others informally (e.g., 1-on-1) or formally (e.g., facilitated training sessions). Shift timings: 1:30 - 10:30 pm IST (subject to change as per business requirements) @RWF22- Please note that "RWF" is an identifier for internal recruiting purposes only and has no connection to the nature or responsibilities of the job Posting End Date 10 Jul 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-468714

Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc., for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends . Required Skills & Qualifications: 2-5 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus.

The Role As a DevOps Engineer , you will be an integral part of the product and service division, working closely with development teams to ensure seamless deployment, scalability, and reliability of our infrastructure. You'll help build and maintain CI/CD pipelines, manage cloud infrastructure, and contribute to system automation. Your work will directly impact the performance and uptime of our flagship product, BotPenguin. What you need for this role Education: Bachelor's degree in Computer Science, IT, or a related field. Experience: 2-5 years in DevOps or similar roles. Technical Skills: Proficiency in CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Experience with containerization and orchestration using Docker and Kubernetes. Strong understanding of cloud platforms, especially AWS & Azure. Familiarity with infrastructure as code tools such as Terraform or CloudFormation. Knowledge of monitoring and logging tools like Prometheus, Grafana, and ELK Stack. Good scripting skills in Bash, Python, or similar languages. Soft Skills: What you will be doing Build, maintain, and optimize CI/CD pipelines. Monitor and improve system performance, uptime, and scalability. Manage and automate cloud infrastructure deployments. Work closely with developers to support release processes and environments. Implement security best practices in deployment and infrastructure management. Ensure high availability and reliability of services. Document procedures and provide support for technical troubleshooting. Contribute to training junior team members, and assist HR and operations teams with tech-related concerns as required. 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. A culture that fosters creativity, ownership, and collaboration. Detail-oriented with a focus on automation and efficiency. Strong problem-solving abilities and proactive mindset. Effective communication and collaboration skills. Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Company: Global Technology organization Key Skills: NLP, Large Language Model, Python, AWS Cloud, Keras, Tensorflow, Chatbots Roles and Responsibilities: Design, develop, and maintain sophisticated NLP and Generative AI applications using Python. Implement back-end APIs to deliver Python services to front-end applications utilizing FastAPI. Write clean, efficient, and modular code adhering to best practices and coding standards. Stay updated with emerging trends and technologies in Generative AI. Optimize application performance and ensure scalability. Familiarity with software engineering best practices such as version control, testing, and code reviews. Collaborate with cross-functional teams to architect and design distributed systems that are highly available and security-focused. Implement solutions on cloud platforms (AWS, Azure) and develop serverless architectures. Utilize Continuous Integration/Deployment tools (Terraform, Git Lab Runners) and application monitoring tools (Splunk, CloudWatch). Skills Required: Must-Have: Experience in Natural Language Processing (NLP), strong proficiency in Python, hands-on expertise with Large Language Models (LLMs), and practical knowledge of AWS Cloud services. Nice-to-Have: Familiarity with Keras and TensorFlow frameworks, along with experience in designing or deploying chatbot solutions. Education: Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.

Job Title: Full-Stack Developer (Python + .NET) Location: Hyderabad (Hybrid) Work Hours: 3:00 PM – 12:00 AM IST Experience : 4 and above years Interview Mode: Face to face (Hyderabad) Job Summary We are looking for a skilled Full-Stack Software Engineer with expertise in both Python backend development and .NET full-stack development. The candidate will initially work on a Python-based backend project for 3 months, focusing on API development, Azure integrations, and asynchronous programming. Post that, the role will transition to developing and maintaining our .NET-based full-stack applications with Angular, C#, and SQL Server. This is a critical role requiring hands-on development skills across both Python and .NET ecosystems, strong cloud platform knowledge (Azure), and excellent communication and problem-solving abilities. Key Responsibilities Phase 1: Python Backend Development (First 3 Months) - Design, develop, and maintain RESTful APIs using Python (Django/FastAPI). - Integrate Microsoft Azure services, including: - Azure Service Bus - Azure Function Apps - Implement asynchronous programming using async/await, background tasks, and other concurrency patterns. - Write and optimize complex SQL queries, stored procedures, and database functions in PostgreSQL or SQL Server. - Collaborate with cross-functional teams using Azure DevOps, participate in Scrum ceremonies (Daily Standups, Sprint Planning, Reviews). - Use GitHub for version control and actively participate in code reviews. - Document technical solutions, project status, and updates in Azure DevOps. - Work in Windows and Linux environments. - Integrate third-party APIs, implement secure authentication using JWT / OAuth 2.0, and build scalable microservices. - Perform unit testing and integration testing using unittest, pytest, and ensure high code coverage. Phase 2: .NET Full-Stack Development (Post 3 Months) - Develop and maintain web applications using .NET, C#, ASP.NET MVC, and Entity Framework. - Create, consume, and maintain RESTful APIs and microservices. - Write, tune, and optimize complex SQL Server queries, stored procedures, and review execution plans. - Enhance and maintain front-end components using Angular and TypeScript, along with HTML, CSS, and JavaScript. - Manage backend and front-end integration, ensuring performance and scalability. - Leverage tools such as Visual Studio, VS Code, and SQL Server Management Studio (SSMS). - Perform API testing using Postman or Insomnia. - Follow Agile/Scrum practices, contribute to technical discussions, and collaborate with global teams. - Manage source code with GitHub, and ensure clear communication/documentation via Azure DevOps, email, and chat. - Participate in application deployment processes using Azure Portal, Azure DevOps Pipelines, and Docker (if required). Required Technical Skills Python Backend Skills - Proficiency in Python backend development. - Hands-on experience with Django, FastAPI, and RESTful API development. - Strong understanding of asynchronous programming patterns (async/await, concurrency). - Experience integrating Azure Function Apps and Azure Service Bus. - Good knowledge of PostgreSQL or SQL Server, with the ability to write optimized queries and stored procedures. - Familiarity with containerization using Docker. .NET Full Stack Skills - Strong experience in .NET (C#, ASP.NET MVC), Entity Framework, and LINQ. - Proficiency in creating and maintaining web applications and REST APIs. - Front-end development skills using Angular, TypeScript, HTML, CSS, and JavaScript. - Database expertise with SQL Server, including query tuning, reading execution plans, and optimizing database performance. - Experience in developing scalable, maintainable web applications. DevOps & Tools - Experience with Azure DevOps, Azure Portal, GitHub, VS Code, Visual Studio, and SSMS. - Familiarity with Postman or Insomnia for API testing. - Experience working in Agile/Scrum environments. - Familiarity with CI/CD pipelines on Azure DevOps is a plus. Soft Skills - Excellent communication skills with English fluency. - Strong problem-solving abilities and attention to detail. - Self-motivated and proactive in resolving technical issues. - Able to manage tasks independently and work effectively in a team setup. - Strong time management and organizational skills. - Collaborative team player with the ability to work across distributed teams. Preferred Qualifications - Experience working with both monolithic and microservices architectures. - Familiarity with secure API development practices (JWT, OAuth 2.0). - Exposure to NLP or chatbot workflows is a plus (as per past projects).

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

Experience: 2 years of experience in GenAI development is a must. Job Type: Work-from-Office or Remote | Full-time Location: Mangalore, Karnataka. Must have skills: Strong experience with MCP framework for building and deploying scalable AI solutions. Proven expertise in developing voice and text-based AI bots across platforms. Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and integration of GenAI APIs (like OpenAI, Azure OpenAI, etc.). Demonstrated ability to lead and manage teams , oversee project workflows, and drive successful delivery of technical solutions. Key Responsibilities: Design, develop, and optimize generative AI applications based on specific client requirements, including bots, agents, automation systems and AI-driven platforms Mentor and guide the development team, helping them solve technical challenges and improve project delivery Write clean, maintainable code and conduct code reviews. Lead data collection, preparation, and optimization efforts to enhance the performance of AI applications Stay updated with the latest research and advanements in AI/ML and assess their applicability. What Were Looking For? Strong programming skills in Python and experience with ML libraries/frameworks (Langchain, spacy, NLTK, Hugging Face, etc.).\ Hands-on experience with NLP, Dailogflow, Voiceflow, RASA, Microsoft Bot Framework, MCP Familiarity with MLOps practices, model deployment, and cloud platforms (AWS, GCP, Azure). Exposure to AI bot/agent platforms like Make, POE, RetellAI Solid understanding of data structures, algorithms, and software engineering principles. Strong analytical and problem-solving skills.

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.

Company Description IEDEO is a dynamic tech company committed to delivering cutting-edge digital solutions. With a strong foundation in mobile app development, web development, AI & machine learning, chatbot development, UI/UX design, and cloud solutions & DevOps. Role Description Socialhyp is seeking a Graphic Design Intern for a full-time remote position. As a Graphic Design Intern, you will work closely with our creative team to design graphics, create logos, develop brand assets, and perform image editing on a daily basis. Internship Details Duration: 3 Months Type: Unpaid Internship Location: Hybrid Key Responsibilities Create engaging graphics and visual content for digital platforms Design logos and branding materials Perform photo editing and retouching Support the creative team on design projects and marketing campaigns Maintain brand consistency across all designs Qualifications Strong skills in Graphic Design and Logo Design Experience with Branding and Image Editing Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) or similar design tools A creative mindset with strong attention to detail How To Apply Send Your Resume Through Whatsapp 9600466480

Company Overview At Aiqwip, we are building full-stack applications powered by Agentic AI, multimodal agent frameworks, and real-world business logic. We take pride in building highly modular, elegant frontend systems that work seamlessly with intelligent backends to deliver world-class user experiences. Our focus is on exceptional software design, scalable architectures, and robust AI integrations that turn product visions into reality. With deep experience in analytics, data science, and frontend engineering, our team delivers cutting-edge experiences across enterprise and consumer interfaces. What We're Looking For We are seeking a talented Frontend Developer with strong expertise in React + Vite as the build tool. You will play a critical role in crafting fast, responsive, and intuitive interfaces that directly interface with our backend AI systems. If you're passionate about great UI/UX and modern JavaScript tooling, this is the place for you. Key Responsibilities Build responsive, performant, and accessible UIs using React with Vite (preferred). Design and implement modern component-based architectures using Tailwind CSS, antD. Collaborate with designers, backend developers, and AI engineers to bring dynamic user experiences to life. Optimize frontend performance with lazy loading, code-splitting, and advanced caching strategies. Integrate RESTful APIs, handle auth tokens (OAuth/JWT), and manage error states gracefully. Set up and maintain a modular and scalable frontend codebase with clear documentation. Participate in design discussions, code reviews, sprint planning, and UI/UX improvements. Must-Have Skills Strong experience with ReactJS (Hooks, Functional Components). Git proficiency, clean commit hygiene, and familiarity with branching strategies and CI/CD workflows. Familiarity with Vite for lightning-fast builds. Proficiency in Javascript. Expertise in modern CSS frameworks like Tailwind CSS, and component libraries like antD, etc. Solid understanding of responsive design, cross-browser compatibility. Comfortable integrating with APIs (REST) and handling authentication flows. Experience with form design/management and validation. (Good-to-Have) Skills Experience with Vite plugins, SSR, or Code splitting techniques. Knowledge of performance profiling using Lighthouse, React Profiler, or Chrome DevTools. Exposure to Figma for interpreting design files. Interest in integrating with LLM APIs, chatbot UIs, or AI-enhanced UX components.

The Role As a DevOps Engineer , you will be an integral part of the product and service division, working closely with development teams to ensure seamless deployment, scalability, and reliability of our infrastructure. You'll help build and maintain CI/CD pipelines, manage cloud infrastructure, and contribute to system automation. Your work will directly impact the performance and uptime of our flagship product, BotPenguin. What you need for this role Education: Bachelor's degree in Computer Science, IT, or a related field. Experience: 2-5 years in DevOps or similar roles. Technical Skills: Proficiency in CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Experience with containerization and orchestration using Docker and Kubernetes. Strong understanding of cloud platforms, especially AWS & Azure. Familiarity with infrastructure as code tools such as Terraform or CloudFormation. Knowledge of monitoring and logging tools like Prometheus, Grafana, and ELK Stack. Good scripting skills in Bash, Python, or similar languages. Soft Skills: What you will be doing Build, maintain, and optimize CI/CD pipelines. Monitor and improve system performance, uptime, and scalability. Manage and automate cloud infrastructure deployments. Work closely with developers to support release processes and environments. Implement security best practices in deployment and infrastructure management. Ensure high availability and reliability of services. Document procedures and provide support for technical troubleshooting. Contribute to training junior team members, and assist HR and operations teams with tech-related concerns as required. 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. A culture that fosters creativity, ownership, and collaboration. Detail-oriented with a focus on automation and efficiency. Strong problem-solving abilities and proactive mindset. Effective communication and collaboration skills. Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Role: AI Quality Assurance Engineer – B2B SaaS/ Prompt Engineer- B2B SaaS Experience: 2–3 years Location: Remote Ready to shape the future of AI for global businesses? At Troopr, we’re building world-class AI solutions — from conversational AI to LLM-powered automation — that help top brands like Starbucks, Netflix, Snowflake, and Spotify automate support and elevate user experience. We’re looking for a QA Engineer who’s passionate about delivering flawless web-based B2B SaaS products. What You'll Do: Design and execute detailed test plans for complex B2B SaaS web applications (enjo.ai) Perform functional, regression, exploratory, and compatibility testing across browsers Evaluate and optimize GenAI, LLM performance in chatbot and automation workflows Identify, document, and track bugs, edge cases, and UX issues Lead performance and stress testing for critical backend and frontend systems Collaborate closely with Product, Design, and Engineering teams in Agile environments Provide clear QA insights that help drive product excellence and customer satisfaction What we're Looking For: 2+ years of experience testing GenAI/chatbot applications or LLM-driven products Experience with AI support automation or B2B SaaS platforms Proficiency with test management and bug tracking tools (e.g., Jira, TestRail) Strong analytical and problem-solving skills to uncover edge cases and risks Familiarity with evaluating LLM outputs (accuracy, coherence, ethical risks) Excellent communication and collaboration abilities Comfortable in a fast-paced, high-ownership startup culture Why You'll Love It Here: Work with breakthrough AI technology adopted by leading global companies Help shape the next generation of AI support automation Join a fully remote, collaborative, and ambitious team making a global impact

PeakPals x AI || Fitness tech We’re building a smart tool at the intersection of AI and fitness. PeakPals has 1,000+ paid consultations across 15+ countries — now we’re turning that into an AI product. Build the first version with us. What you’ll do: • Build a simple web-based chatbot using GPT-4 API + our logic filters • Set up category-based expert/product recommendations (using dummy data) • Design a clean, mobile-first interface (basic, but usable) You should have: • Working knowledge of GPT API, React, Firebase/Supabase • Ability to think in logic flows and structure clean MVPs • A decent eye for UI — enough to make it not look broken You’ll work with the founder. If you’re curious, driven, and want real impact P.S- Hiring closes in two days, apply now!

Skills: Operations Management, Business Strategy, Standard Operating Procedure (SOP), Cross-functional Team Leadership, B2c, automation, Job Title: Senior Manager Operations & Strategy Company: Leading Astrology-Tech Platform | India | Full-time Job Location : Noida Role Overview Were seeking a results-driven operations and strategy leader to scale the backend engine of a high-growth spiritual wellness marketplace. This role requires you to align operations with business strategy, lead partner and customer workflows, and drive innovation across cross-functional teams. You'll be the anchor connecting strategy, systems, and execution. Key Responsibilities Operational Excellence & Workflow Design Streamline and manage daily operations across customer support, partner onboarding, and issue resolution Define SOPs, build playbooks, and implement quality controls to ensure consistent service delivery Identify process gaps and implement automation and analytics tools to boost efficiency Strategy Development & Execution Translate business goals into actionable operational plans Use data insights to inform decisions, prioritize initiatives, and track operational KPIs Align quarterly execution with leadership vision, budget constraints, and team bandwidth Partner & Vendor Ecosystem Management Manage relationships with a large network of service partners (astrologers, advisors, consultants) Build and improve onboarding journeys, training systems, and feedback mechanisms Create escalation paths and performance matrices to ensure partner accountability Cross-Functional Leadership Collaborate with Product, Marketing, Tech, and Customer Experience teams to execute new launches and improve platform stability Own cross-functional initiatives like CRM rollout, chatbot workflows, and ticketing automation Act as a strategic bridge between operations and senior management Risk & Compliance Oversight Ensure processes meet internal quality benchmarks and external compliance standards Build dashboards and alerts to proactively detect delays, errors, or drop-offs Implement contingency plans for high-urgency operational disruptions Qualifications Experience: 58 years in Operations, Strategy, or Business Excellence roles in high-growth B2C tech or services companies Education: Bachelors in Business/Operations; MBA preferred Tools & Skills: Proficiency in Google Sheets, Excel, CRM, and dashboards (e.g., Zoho, Salesforce, Power BI) Strong analytical acumen and decision-making under pressure People-first leadership with the ability to inspire and scale teams What You Bring Youre a builder: you love turning ambiguity into structure Youre a systems thinker: process-driven but adaptable Youre a people enabler: empowering vendors, customers, and teams to succeed Youre a strategist with execution muscle: ready to roll up sleeves and ship outcomes Why This Role Matters This is not just an ops roleits about building the core delivery engine of a platform that empowers spiritual transformation for millions. You'll directly influence platform efficiency, customer satisfaction, partner success, and organizational scalability. As the business expands across languages, regions, and verticals, you will be instrumental in designing the backbone of sustainable, scalable operations.

Skills: Operations Management, Business Strategy, Standard Operating Procedure (SOP), Cross-functional Team Leadership, B2c, automation, Job Title: Senior Manager Operations & Strategy Company: Leading Astrology-Tech Platform | India | Full-time Job Location : Noida Role Overview Were seeking a results-driven operations and strategy leader to scale the backend engine of a high-growth spiritual wellness marketplace. This role requires you to align operations with business strategy, lead partner and customer workflows, and drive innovation across cross-functional teams. You'll be the anchor connecting strategy, systems, and execution. Key Responsibilities Operational Excellence & Workflow Design Streamline and manage daily operations across customer support, partner onboarding, and issue resolution Define SOPs, build playbooks, and implement quality controls to ensure consistent service delivery Identify process gaps and implement automation and analytics tools to boost efficiency Strategy Development & Execution Translate business goals into actionable operational plans Use data insights to inform decisions, prioritize initiatives, and track operational KPIs Align quarterly execution with leadership vision, budget constraints, and team bandwidth Partner & Vendor Ecosystem Management Manage relationships with a large network of service partners (astrologers, advisors, consultants) Build and improve onboarding journeys, training systems, and feedback mechanisms Create escalation paths and performance matrices to ensure partner accountability Cross-Functional Leadership Collaborate with Product, Marketing, Tech, and Customer Experience teams to execute new launches and improve platform stability Own cross-functional initiatives like CRM rollout, chatbot workflows, and ticketing automation Act as a strategic bridge between operations and senior management Risk & Compliance Oversight Ensure processes meet internal quality benchmarks and external compliance standards Build dashboards and alerts to proactively detect delays, errors, or drop-offs Implement contingency plans for high-urgency operational disruptions Qualifications Experience: 58 years in Operations, Strategy, or Business Excellence roles in high-growth B2C tech or services companies Education: Bachelors in Business/Operations; MBA preferred Tools & Skills: Proficiency in Google Sheets, Excel, CRM, and dashboards (e.g., Zoho, Salesforce, Power BI) Strong analytical acumen and decision-making under pressure People-first leadership with the ability to inspire and scale teams What You Bring Youre a builder: you love turning ambiguity into structure Youre a systems thinker: process-driven but adaptable Youre a people enabler: empowering vendors, customers, and teams to succeed Youre a strategist with execution muscle: ready to roll up sleeves and ship outcomes Why This Role Matters This is not just an ops roleits about building the core delivery engine of a platform that empowers spiritual transformation for millions. You'll directly influence platform efficiency, customer satisfaction, partner success, and organizational scalability. As the business expands across languages, regions, and verticals, you will be instrumental in designing the backbone of sustainable, scalable operations.

Set up and manage Interakt WhatsApp Business API platform Create and update product catalogues and automation flows Build chatbot workflows for lead generation, order taking, and customer service Manage WhatsApp templates for promotions, follow-ups, and order updates Monitor daily conversations, handle escalations, and maintain data hygiene Coordinate with sales and marketing teams for timely campaign execution Analyze reports to improve engagement and conversion Stay updated on new Interakt features and WhatsApp policies Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Supplemental Pay: Overtime pay Yearly bonus Work Location: In person