31 Aug
|
Tata Consultancy Services
|
Pune
31 Aug
Tata Consultancy Services
Pune
Role: Generative AI Engineer
Exp: 7+ Year
Location:Pune
Must Have Technical/Functional Skills
Experience in Python (FastAPI).
Experience in FAISS ,Vector DB
Proficiency in JavaScript for backend and lightweight frontend support (excluding React JS).
Strong grasp of RESTful APIs integration and WebSocket communication.
Expertise in Large Language Models (LLMs) usage, including fine and dynamic prompt engineering for
Generative AI applications.
Hands-on experience with LangGraph Langchain agents for building and orchestrating AI workflows.
Experience with Redis (cache, streams, pub/sub patterns) for real-time chat handling.
Experience with OAuth2.0 / JWT based API security.
Good understanding of event-driven architectures and asynchronous programming (async/await).
Experience working with relational or NoSQL databases (Teradata, MongoDB, SOLR, etc.).
Ability to optimize system performance (scalability, fault tolerance).
Familiarity with containerized application deployment on OpenShift, including CI/CD pipelines and automation tools.
Roles & Responsibilities
Owns end to end solution design Collaborate and work closely with the customer Cisco leader daily basis for review
Performance optimization
Customer-facing technical leadership to effectively communicate design decisions, challenges, trade-offs, and limitations
Design and build scalable APIs using FastAPI.
Extensibility, maintainability, scalability, and overall future-readiness assessment
Utilize Large Language Models (LLMs) and SLM for Generative AI-based application development, applying fine and
energetic prompting techniques to optimize AI responses.
Develop and maintain LangGraph Langchain agents to orchestrate complex AI workflows and agentic automation.
Implement robust asynchronous event handling and improve system resilience with retries,
backoff, and failure recovery patterns.
Review and leads developers code for best practices and efficiency day to day
Set up error handling, monitoring, and logging standards, including observability for LLMs and AI workflows.
Implement OAuth2.0 and JWT validation security mechanisms.
Deploy and manage code on OpenShift containers, ensuring containerized application scalability and reliability.
📌 Generative AI Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune