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
- Good experience with Docker and Docker Compose
- Strong experience with Pytest, unit testing, integration testing, and mocking

Good 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

Skills: async,python,langgraph,langchain,agents,cdp,pydantic

📌 Python AI / Agent Developer (Bengaluru)
🏢 Zorba AI
📍 Bengaluru