We are looking for an experienced AI Engineer with robust expertise in Python, FastAPI, LangChain, and LangGraph to design and develop scalable, production-grade AI applications and agentic workflows. The candidate should have hands-on experience deploying AI solutions using Docker and Kubernetes.
Key Responsibilities:
Design and develop AI-powered applications, intelligent agents, and backend services using Python and FastAPI.
Build agentic workflows, multi-step orchestration, and tool integrations using LangGraph and LangChain.
Develop scalable REST APIs and integrate LLMs and external services into enterprise applications.
Containerize AI applications using Docker and deploy, manage, and scale them using Kubernetes.
Optimize AI application performance,
reliability, and scalability.
Lead technical design discussions, code reviews, and mentor engineering teams.
Must-Have Skills:
Advanced Python programming and FastAPI.
Solid hands-on experience with LangGraph and LangChain.
Expertise in Docker and Kubernetes.
Experience developing and deploying production-grade AI applications and APIs.
Positive to Have:
Experience with MCP, tool registries, and tool-calling integrations.
Familiarity with AWS Strands Agents or AWS SDKs.
Knowledge of cloud-based AI application deployment and orchestration.