Location: Bangalore
Experience: 5+ years backend development, 1–2 years AI/LLM integration
About the Role
We’re looking for an experienced AI Engineer to design and build production-grade LLM-powered systems. This role involves deep Python expertise, modern API development, and hands-on experience with agent orchestration frameworks like LangChain and LangGraph. You’ll work on real-world AI workflows, integrating multiple LLM providers, optimizing pipelines, and ensuring enterprise-grade reliability.
Key Responsibilities
- Design & implement LLM workflows using LangChain/LangGraph (agents, tools, memory, orchestration).
- Build robust backend services with FastAPI (async execution, API gateways, OpenAPI docs).
- Develop prompting strategies, model evaluation pipelines, and orchestration logic for multi-provider LLM integration.
- Implement streaming endpoints, guardrails for safety (PII detection, prompt injection protection), and observability.
- Collaborate on architecture decisions, mentor team members, and maintain high code quality standards.
Required Skills
- Python (5+ years): Production-level backend development, async patterns, type safety.
- AI/LLM Integration (1–2 years): Prompt engineering, orchestration, pipeline design.
- LangChain & LangGraph: Agent workflows, graph-based orchestration, memory management.
- FastAPI: High-performance async APIs, OpenAPI documentation, API gateways.
- Strong understanding of RESTful API design, Docker, and CI/CD pipelines.
- Familiarity with testing strategies (unit/integration/E2E) and observability tools.
Preferred
- Experience with LangSmith, Guardrails AI, or similar debugging/safety frameworks.
- Knowledge of streaming protocols (SSE/WebSockets) and distributed systems concepts.
- Exposure to OpenTelemetry, structured logging, and performance optimization.
Why Join Us?
- Work on cutting-edge AI platforms with production-grade standards (not prototypes).
- Build systems that dynamically switch between multiple LLM providers.
- Collaborate in a documentation-driven, code-review culture focused on quality and scalability.
Tech Stack: Python, FastAPI, LangChain, LangGraph, Docker, CI/CD
