AI Engineer(Python,AWS)_Immediate

Kezan Consulting; Gurugram District, Bengaluru, Delhi; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Kezan Consulting is seeking an experienced AI Engineer with strong Python, FastAPI, LangChain, and LangGraph to design and develop scalable, production-grade AI applications and agentic workflows. You will deploy AI solutions using Docker and Kubernetes, build robust APIs, and lead technical discussions while mentoring engineers to improve performance, reliability, and scalability.

This role offers opportunities to shape architecture and collaborate with cross-functional teams to deliver

Qualifications

• Hands-on Python and FastAPI with production-grade APIs.
• Experience with LangGraph and LangChain for agentic workflows.
• Docker and Kubernetes for deploying scalable AI solutions.

Responsibilities

• Design and develop AI-powered applications, agents, and backends using Python and FastAPI.
• Build agentic workflows and tool integrations with LangGraph and LangChain.
• Develop scalable REST APIs and integrate LLMs and external services.

Skills

Python

FastAPI

LangGraph

LangChain

Docker

Kubernetes

API Development

Tools

MCP

Tool registries

AWS Strands Agents

AWS SDKs

Job description

Experience: 8+ Years

Job Description:

We are looking for an experienced AI Engineer with strong 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.
• Strong hands-on experience with LangGraph and LangChain.
• Expertise in Docker and Kubernetes.
• Experience developing and deploying production-grade AI applications and APIs.

Good 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.