{"id":1279422,"url":"https://alion.io/job/xtag-services-python-developer","title":"Python Developer","company":{"id":3800680,"name":"xTag Services","domain":"xtagservices.com","url":"https://alion.io/company/xtag-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India","Pune, India","Chennai, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Asyncio","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-08-24T11:24:45Z","employer_posted_date":null,"last_verified_at":"2026-08-24T11:24:45Z","board_verified":false,"closed_at":null,"days_open":33,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":33},"description":"Role : Python Developer Agentic AI & Multi-Agent Systems\n\nPosition : Software Engineer / Senior Software Engineer Python, FastAPI & Agentic AI\n\nExperience : 3 to 8+ Years\n\nLocation : Hyderabad, Chennai, Bangalore, Pune\n\nWork Mode : On-site / Hybrid as per project requirements\n\nJob Summary : \n\nWe 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.\n\nKey Responsibilities : \n\n- Design, develop, and maintain scalable backend services and REST APIs using Python and FastAPI.\n\n- Build production-ready Agentic AI applications capable of reasoning, planning, tool usage, and autonomous task execution.\n\n- Design and implement Agent-to-Agent (A2A) communication to enable collaboration, context sharing, task delegation, and state management between AI agents.\n\n- Implement Model Context Protocol (MCP) to expose tools, resources, and data sources to LLM-powered agents.\n\n- Design multi-agent orchestration workflows covering task delegation, sequencing, parallel execution, fallback mechanisms, and error recovery.\n\n- Integrate LLMs such as OpenAI, Anthropic Claude, and open-source models into agent pipelines.\n\n- Implement tool calling, function calling, RAG, memory, and contextual workflows within AI applications.\n\n- Build APIs and microservices supporting agent orchestration, state management, inter-agent communication, and workflow execution.\n\n- Work with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, and Semantic Kernel.\n\n- Develop asynchronous services and workflows using Python Asyncio.\n\n- Implement authentication and authorization using OAuth2, JWT, and secure API practices.\n\n- Collaborate with Product, ML, Data, and Platform teams to define agent capabilities, memory strategies, tool interfaces, and communication contracts.\n\n- Write clean, scalable, testable, and well-documented production-grade code.\n\n- Develop unit and integration tests for APIs, agent workflows, tools, and orchestration components.\n\n- Monitor, debug, and optimize agent performance, latency, reliability, and resource utilization in production.\n\n- Ensure secure handling of credentials, sensitive data, tools, APIs, and agent permissions.\n\nMandatory Skills : \n\n- Strong hands-on experience with Python\n\n- FastAPI and REST API development\n\n- Practical experience in Agentic AI / LLM-based applications\n\n- Model Context Protocol (MCP)\n\n- Agent-to-Agent (A2A) communication\n\n- Experience with one or more : LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel\n\n- Strong understanding of Asyncio / asynchronous programming\n\n- Experience with LLM integration, tool calling, function calling, and RAG\n\nSecondary Skills : \n\n- OpenAI / Anthropic APIs\n\n- REST API design\n\n- OAuth2 / JWT\n\n- Microservices architecture\n\n- Unit and integration testing\n\n- Docker / Kubernetes\n\n- AWS / Azure / GCP\n\n- Distributed systems\n\n- Workflow orchestration tools such as Airflow, Temporal, or Prefect\n\nQualifications : \n\n- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n\n- 3 to 8+ years of professional software development experience.\n\n- Demonstrable experience building and deploying AI/LLM-based applications is highly preferred.\nSkills\nPython, Agentic AI, Artificial Intelligence, LLM, FastAPI, OpenAI, RAG, LangChain, LangGraph, Microservices Architecture","description_format":"text","description_chars":3762,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Professional Services","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:24Z"}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.526,"p_room":0.45,"age_days":32,"expected_fill_days":17,"reasons":["seen:32","win:tail"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/xtag-services-python-developer","json_url":"https://alion.io/job/xtag-services-python-developer.json","meta":{"generated_at":"2026-09-27T04:19:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3942,"day_limit":5000,"remaining_today":1058,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}