We are looking for a skilled Python AI/Agent Developer with strong experience in Python, asynchronous programming, LangGraph/LangChain, FastAPI, REST APIs, Docker, and automated testing. The ideal candidate will have hands-on experience building scalable AI/LLM workflows, agent-based applications, and backend services.

Key Responsibilities
Design and develop AI/LLM-powered applications and agent workflows using Python, LangGraph, and LangChain.
Develop state-based workflows using graphs, nodes, routers, reducers, and agent orchestration patterns.
Build scalable and high-performance asynchronous Python services using async/await.
Develop REST APIs using FastAPI and Pydantic with asynchronous endpoints and structured request/response models.
Containerize applications using Docker, including image creation, Docker Compose, and container networking.
Develop comprehensive unit and integration test cases using Pytest, including mocking and test automation.
Troubleshoot and debug application, API, browser automation, and agent workflow issues.
Collaborate with engineering teams to integrate AI agents with existing applications, APIs, and enterprise tools.
Follow best practices for code quality, security, scalability, observability, and maintainability.

Mandatory Skills




Robust hands-on experience with Python
Excellent understanding of Python asynchronous programming
Hands-on experience with LangGraph and/or LangChain
Strong experience with FastAPI and Pydantic
Experience developing REST APIs and asynchronous endpoints
Positive experience with Docker and Docker Compose
Strong experience with Pytest, unit testing, integration testing, and mocking

Valuable to Have
Experience with Chrome DevTools Protocol (CDP) and browser internals, including DOM/runtime interaction and keyboard/input events.
Understanding of Angular/web frameworks, Shadow DOM, change detection, and browser event pipelines.
Experience integrating with Jira and Zephyr APIs.
Experience with Jenkins declarative pipelines, Groovy, stages, and credentials management.

Nice to Have
Prompt engineering for browser/AI agents
LLM evaluation and understanding of token usage and model selection
Experience with Conjur or other secrets-management solutions
Knowledge of MCP (Model Context Protocol) and Copilot CLI/tool integrations

Key Skills

Python | Async Python | LangGraph | LangChain | FastAPI | Pydantic | REST API | Docker | Pytest | AI Agents | LLM | CDP

📌 Python Ai / Agent Developer Bengaluru
🏢 Zorba Consulting India
📍 Bengaluru