{"id":2916429,"url":"https://alion.io/job/agilisium-aiml-engineer-2","title":"AI/ML Engineer","company":{"id":2841756,"name":"Agilisium","domain":"agilisium.com","url":"https://alion.io/company/agilisium","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI 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Protocol","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"PEFT","optional":true},{"name":"Pinecone","optional":true},{"name":"Qdrant","optional":true},{"name":"Structured Outputs","optional":true},{"name":"Transformers","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-24T22:59:04Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"Required Qualifications\nWe’re looking for a Senior GenAI / AI-ML Engineer with strong hands-on experience in designing and deploying production-grade Generative AI solutions.\nJoin our Inperson walkin Drive on 19th Sept'26,If you are excited for this role below are details for your reference\nWakin Date:19th Sept'26(Saturday)\nWalkin TIme-10.30AM-3.00PM\nVenue:World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096\nExperience Range: 4-10 Years\nMust-have skills:\nBachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s preferred).\n5+ years of experience in AI/ML, with significant hands-on experience inGenerative AI and LLM-based applications.\nStrong hands-on experience with Generative AI / Large Language Models (LLMs), including model integration, evaluation, optimization, and deployment.\nStrong expertise inPython and experience building scalable AI applications and services.\nHands-on experience withLangChain andLangGraph for developing LLM-powered applications, workflows, and AI agents.\nStrong experience building Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embeddings, retrieval, reranking, context management, and response generation.\nStrong hands-on experience withFastAPI for developing and exposing AI/ML services and APIs.\nExperience working withLLM APIs and model providers such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, Gemini, or equivalent.\nGood understanding ofprompt engineering, embeddings, vector search, and LLM evaluation.\nExperience integrating GenAI solutions withSQL/NoSQL databases, vector databases, and enterprise data sources.\nStrong understanding ofcloud platforms such as AWS, Azure, or GCP and their AI/ML services.\nUnderstanding ofMLOps, model lifecycle management, deployment, monitoring, and productionization of AI solutions.\nStrong problem-solving, communication, and collaboration skills, with the ability to work with cross-functional teams.\nPreferred Skills\n Model Context Protocol (MCP) experience, including building or integrating MCP servers/tools with LLM applications or AI agents.\nExperience developingAI Agents / Agentic AI workflows using LangGraph or similar frameworks.\nExperience withmulti-agent systems, tool calling, function calling, and structured outputs.\nExperience with vector databases such 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