We are looking for a talented AI Engineer to join our client
Location : Hybrid – Bangalore, Cessna Business Park
Type : Ongoing Contract – Long Term
Role Responsibilities :
- Design, build, and maintain generative AI workflows and agent systems using Python
- Develop and deploy containerized microservices on cloud platforms (AWS, GCP, Azure)
- Integrate with LLMs via APIs (OpenAI, Claude, Gemini) and implement prompt engineering best practices
- Build and support agent orchestration tools (LangChain, ReAct, CrewAI, or similar)
- Manage data flow through vector stores (ChromaDB, Pinecone) and support RAG pipelines
- Implement and manage API proxies, session handling, and authentication (JWT)
- Set up observability tools (logging, tracing, monitoring) for AI workflows and agents
- Collaborate asynchronously with cross-functional teams and document architecture decisions
- Prototype quickly and iterate using metrics, logs, and user feedback
- Apply security best practices to LLM integration
Required Skills & Experience :
3–5+ years of Python development, including async and modular design patternsHands-on experience with container tools (Docker / Podman) and cloud deploymentsFamiliarity with API design, FastAPI, REST, and WebSocket integrationExperience with at least one LLM orchestration / agent framework (LangChain, AutoGen, OpenAgents)Strong understanding of prompt / response logging, token usage, and cost trackingProficiency with version control (Git) and CI / CD workflowsExcellent written communication and comfort working in distributed teamsNice-to-Have :
Experience with OpenTelemetry, LangSmith, or LLM eval frameworksFamiliarity with security concerns in GenAI environmentsPrior work integrating enterprise systems or external APIsBackground in NLP, ML, or cognitive architecturesIf you are passionate about AI, LLMs, and building next-gen intelligent systems , this is an exciting opportunity!