Overview
Principal AI Engineer to support the AI Enablement Team in developing and deploying enterprise generative AI solutions.
What you'll do
- Design, build, and deploy autonomous multi-agent workflows with orchestration frameworks.
- Architect graph-based agent workflows with 10+ nodes across multiple business domains.
- Develop and maintain reusable agent node libraries, platform patterns, and testing frameworks.
- Build production-grade FastAPI applications integrating PostgreSQL, Redis, and enterprise services.
- Implement real-time agent streaming with SSE and WebSocket, using RESTful and event-driven APIs.
- Integrate cloud LLM providers and implement prompt management with versioning and templating.
What you'll need
- 9+ years of software engineering experience.
- 2+ years building and deploying production LLM-powered applications.
- Experience with agentic orchestration frameworks such as LangGraph (preferred), LangChain, CrewAI, or Autogen.
- Experience with cloud LLM providers including AWS Bedrock, Azure OpenAI, Anthropic Claude, or OpenAI GPT-4.
- Production experience with async Python and FastAPI.
- Experience with Docker, Git, and CI/CD pipelines.
- Familiarity with observability tooling such as Langfuse or LangSmith and prompt engineering at scale.
Details
- Location: Hyderabad, Telangana, India.
Read the full description and apply on the company’s own careers page.
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