{"id":4169962,"url":"https://alion.io/job/automationedge-python-developer-genai-agentic-ai","title":"Python Developer – GenAI & Agentic AI","company":{"id":2856675,"name":"AutomationEdge","domain":"automationedge.com","url":"https://alion.io/company/automation-edge","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"WP Job Openings","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"Milvus","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Function Calling","optional":true},{"name":"Kubernetes","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-07-01T08:02:44Z","employer_posted_date":"2026-07-01","last_verified_at":"2026-11-12T14:27:34Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":134},"description":"Experience: 2-5 Years Joining: Immediate to 30 Days Preferred\nRole Overview\nWe are looking for a passionate Python Developer - GenAI & Agentic AI to join our Product Engineering team. The ideal candidate should have strong Python development skills along with hands-on experience in building Generative AI and Agentic AI applications using modern LLM frameworks and AI orchestration technologies.\nThis role offers an opportunity to work on cutting-edge AI products and enterprise-scale automation platforms.\nKey Responsibilities:\nDesign, develop, and maintain scalable applications and REST APIs using Python and FastAPI.\nBuild enterprise-grade Generative AI applications using LLMs such as OpenAI GPT, Claude, Gemini, Llama, or similar models.\nDesign and implement Retrieval Augmented Generation (RAG) pipelines using embeddings and vector databases.\nDevelop Agentic AI workflows capable of autonomous reasoning, planning, and tool execution.\nOptimize prompts, agent orchestration, memory management, and inference performance.\nIntegrate AI solutions with enterprise applications, APIs, databases, and business workflows.\nDeploy, monitor, and optimize AI applications on AWS, Azure, or GCP environments.\nCollaborate with Product, Engineering, and Solution teams to deliver AI-powered business solutions.\nStay updated with emerging AI frameworks, models, and industry best practices.\nRequired Technical Skills\n2+ years of hands-on experience in Python development.\nExperience with FastAPI, Flask, or similar Python frameworks.\nHands-on experience with Generative AI and Large Language Models (LLMs).\nStrong understanding of RAG architecture, embeddings, and vector databases (FAISS, Pinecone, ChromaDB, Milvus, etc.).\nExperience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.\nKnowledge of Prompt Engineering and AI agent development.\nExperience working with REST APIs, JSON, and microservices architecture.\nFamiliarity with Git, Docker, and CI/CD pipelines.\nGood to Have\nExperience with Agentic AI frameworks and autonomous AI systems.\nExposure to MCP (Model Context Protocol), AI tool calling, and function 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