We are currently seeking an Generative AI Engineer (LLM Integration experience is a must) for our client,
Location : Hybrid – Cessna Business Park, Bangalore
Role : Generative AI Engineer
Type : Ongoing Contract (Long Term )
Role Responsibilities
- Design, build, and maintain generative AI workflows and intelligent agent systems using Python
- Develop and deploy containerized microservices on cloud platforms ( AWS, GCP, Azure )
- Integrate with LLMs via APIs (e.G., OpenAI, Claude, Gemini) and implement prompt engineering best practices
- Build agent orchestration tools using LangChain, ReAct, CrewAI , or similar
- Manage data through vector databases (e.G., ChromaDB, Pinecone) and support RAG pipelines
- Implement API proxies, session handling, and secure authentication (JWT)
- Set up observability tools ( logging, tracing, monitoring ) for AI agents
- Collaborate across distributed teams and document architecture decisions
- Rapidly prototype and iterate using metrics, logs, and feedback
- Apply security best practices to LLM integrations
Required Skills
3–5+ years of experience with Python , including async and modular designStrong hands-on experience with Docker / Podman and cloud deploymentFamiliar with FastAPI , REST, WebSocket APIsExperience with LLM agent frameworks like LangChain, AutoGen, or OpenAgentsUnderstanding of prompt / response logging , token usage , and cost trackingProficient in Git and CI / CD pipelinesStrong written communication;comfortable in remote / distributed teams
Nice-to-Have
Familiarity with OpenTelemetry , LangSmith , or LLM evaluation toolsUnderstanding of GenAI security practicesExperience integrating enterprise systems or external APIsBackground in NLP , ML , or cognitive architectures