{"id":3977963,"url":"https://alion.io/job/iderize-ai-lead-python-2","title":"AI Lead (Python)","company":{"id":3800771,"name":"Iderize","domain":"techjays.com","url":"https://alion.io/company/iderize","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Coimbatore, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Django","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":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Unix","optional":false},{"name":"Weaviate","optional":false},{"name":"WebSockets","optional":false},{"name":"Anthropic","optional":true},{"name":"Apache Kafka","optional":true}],"status":"live","first_seen_at":"2026-11-09T18:35:35Z","employer_posted_date":null,"last_verified_at":"2026-11-09T18:35:35Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI - delivering secure, scalable, and enterprise-ready intelligent systems.\n\nWhat You'll Do:\nArchitect and scale backend systems powering AI-driven applications\nDesign and implement RAG pipelines, AI agents, and LLM integrations\nOwn systems end-to-end - from architecture to deployment and scaling\nIntegrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases\nBuild high-performance distributed systems with observability and cost efficiency\nLead backend and AI initiatives with strong technical ownership\nMentor engineers and raise the technical bar across teams\nCollaborate with product and AI teams to deliver AI-native solutions\n\nWhat We're Looking For:\n6-10 years of strong backend engineering experience\nHands-on expertise in Python (FastAPI / Django / Flask)\nDeep understanding of Generative AI and LLM-based systems\nStrong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)\nSolid knowledge of Agentic AI - 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