AI Engineer

About the job

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

Requirements

• Python
• AI Integration
• FastAPI
• LangChain
• LangGraph
• RESTful API

Preferred Technologies

• Python
• AI Integration
• FastAPI
• LangChain
• LangGraph
• RESTful API