Python Developer
First seen by Alion on Aug 24, 2026.
Role : Python Developer Agentic AI & Multi-Agent Systems
Position : Software Engineer / Senior Software Engineer Python, FastAPI & Agentic AI
Experience : 3 to 8+ Years
Location : Hyderabad, Chennai, Bangalore, Pune
Work Mode : On-site / Hybrid as per project requirements
Job Summary :
We are looking for a hands-on Python Developer / Software Engineer with strong experience in building Agentic AI, LLM-powered applications, and multi-agent systems. The ideal candidate should have practical experience with Python, FastAPI, MCP, Agent-to-Agent (A2A) communication, and multi-agent orchestration frameworks. The candidate will be responsible for designing scalable backend services, developing autonomous AI workflows, integrating LLMs, and building production-ready agentic applications.
Key Responsibilities :
- Design, develop, and maintain scalable backend services and REST APIs using Python and FastAPI.
- Build production-ready Agentic AI applications capable of reasoning, planning, tool usage, and autonomous task execution.
- Design and implement Agent-to-Agent (A2A) communication to enable collaboration, context sharing, task delegation, and state management between AI agents.
- Implement Model Context Protocol (MCP) to expose tools, resources, and data sources to LLM-powered agents.
- Design multi-agent orchestration workflows covering task delegation, sequencing, parallel execution, fallback mechanisms, and error recovery.
- Integrate LLMs such as OpenAI, Anthropic Claude, and open-source models into agent pipelines.
- Implement tool calling, function calling, RAG, memory, and contextual workflows within AI applications.
- Build APIs and microservices supporting agent orchestration, state management, inter-agent communication, and workflow execution.
- Work with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, and Semantic Kernel.
- Develop asynchronous services and workflows using Python Asyncio.
- Implement authentication and authorization using OAuth2, JWT, and secure API practices.
- Collaborate with Product, ML, Data, and Platform teams to define agent capabilities, memory strategies, tool interfaces, and communication contracts.
- Write clean, scalable, testable, and well-documented production-grade code.
- Develop unit and integration tests for APIs, agent workflows, tools, and orchestration components.
- Monitor, debug, and optimize agent performance, latency, reliability, and resource utilization in production.
- Ensure secure handling of credentials, sensitive data, tools, APIs, and agent permissions.
Mandatory Skills :
- Strong hands-on experience with Python
- FastAPI and REST API development
- Practical experience in Agentic AI / LLM-based applications
- Model Context Protocol (MCP)
- Agent-to-Agent (A2A) communication
- Experience with one or more : LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel
- Strong understanding of Asyncio / asynchronous programming
- Experience with LLM integration, tool calling, function calling, and RAG
Secondary Skills :
- OpenAI / Anthropic APIs
- REST API design
- OAuth2 / JWT
- Microservices architecture
- Unit and integration testing
- Docker / Kubernetes
- AWS / Azure / GCP
- Distributed systems
- Workflow orchestration tools such as Airflow, Temporal, or Prefect
Qualifications :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 3 to 8+ years of professional software development experience.
- Demonstrable experience building and deploying AI/LLM-based applications is highly preferred.
Skills
Python, Agentic AI, Artificial Intelligence, LLM, FastAPI, OpenAI, RAG, LangChain, LangGraph, Microservices Architecture