Gen AI Data engineer
Posted Updated
Summary
Designs, develops, and deploys scalable Generative AI applications, conversational agents, and RAG-based solutions for enterprise requirements. Core stack: Python (FastAPI/Django), LangChain, OpenAI/Gemini, vector databases, and Google Cloud/Vertex AI with Docker.
Job Requirements
- Experience: 6+ Years
Required Skills
- Strong experience in Python, FastAPI, Django, and REST API development.
- Hands-on experience with Generative AI, LLMs, RAG, and AI agent development.
- Experience with LangChain, Google ADK, ReAct, OpenAI, and Google Gemini.
- Knowledge of vector databases, embeddings, semantic search, and prompt engineering.
- Experience with LLM evaluation tools such as RAGAS and DeepEval.
- Strong understanding of SQL, PostgreSQL, and microservices architecture.
- Experience with Google Cloud, Vertex AI, Docker, and cloud-based AI applications.
- Familiarity with MCP servers, tool calling, and AI application security.
Role Summary
Responsible for designing, developing, and deploying scalable Generative AI applications, conversational agents, and RAG-based solutions for enterprise requirements.
Work Experience
- 5-7 Years