Python Developer - Agentic AI & Multi-Agent Systems in Bengaluru, India

Role : Python Developer Agentic AI & Multi-Agent SystemsPosition : Software Engineer / Senior Software Engineer Python, FastAPI & Agentic AIExperience : 3 to 8+ YearsLocation : Hyderabad, Chennai, Bangalore, PuneWork Mode : On-site / Hybrid as per project requirementsJob 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 https://jobeax.com/link/wXURIxgrAfa888Pf 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 https://jobeax.com/link/UjW9DF3udQE7tnOj 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 RAGSecondary 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 PrefectQualifications : - 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. (ref:hirist.tech)