- 5-7 yrs in Generative AI, Agentic AI, RAG, Python, LangChain/LangGraph, Multi-Agent Systems, Vector DB, Azure OpenAI/AWS Bedrock/Vertex AI, API Integration, Microservices.
- WFO, Immediate NP.

Key Responsibilities

- Design, develop, and deploy Generative AI applications using LLMs and foundation models.
- Build AI-powered chatbots, virtual assistants, copilots, and document intelligence solutions.
- Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases.
- Create and optimize prompts for various business use cases.
- Fine-tune and evaluate LLMs using domain-specific datasets.
- Integrate AI models with enterprise applications through REST APIs and microservices.
- Develop AI agents using agentic frameworks and workflow orchestration tools.
- Optimize AI solutions for latency, cost, scalability, and accuracy.
- Implement AI guardrails, content moderation, and responsible AI practices.
- Work with cloud AI platforms and deploy models using containerization technologies.
- Collaborate with Data Scientists, ML Engineers, Software Developers, and DevOps teams.
- Monitor model performance and continuously improve AI applications.

📌 Gen Ai Engineer (Chennai)
🏢 BaseBiz
📍 Chennai