{"id":4259955,"url":"https://alion.io/job/agilisium-aiml-engineer-3","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":"services","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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"SQL","optional":false},{"name":"Chroma","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"FAISS","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Function Calling","optional":true},{"name":"Kubernetes","optional":true},{"name":"LoRA","optional":true},{"name":"Milvus","optional":true},{"name":"Model Context 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":"2026-11-13T15:03:58Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T15:03:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"AI/ML Engineer\nExp: 3+ Years\nRequired 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.\nMust-have skills:\nBachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s preferred).\n3+ years of experience in AI/ML, with significant hands-on experience in Generative 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 in Python and experience building scalable AI applications and services.\nHands-on experience with LangChain and LangGraph 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 with FastAPI for developing and exposing AI/ML services and APIs.\nExperience working with LLM APIs and model providers such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, Gemini, or equivalent.\nGood understanding of prompt engineering, embeddings, vector search, and LLM evaluation.\nExperience integrating GenAI solutions with SQL/NoSQL databases, vector databases, and enterprise data sources.\nStrong understanding of cloud platforms such as AWS, Azure, or GCP and their AI/ML services.\nUnderstanding of MLOps, 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 developing AI Agents / Agentic AI workflows using LangGraph or similar frameworks.\nExperience with multi-agent systems, tool calling, function calling, and structured outputs.\nExperience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or FAISS.\nExperience with LLM fine-tuning, LoRA/PEFT, or model optimization.\nExperience with Docker, Kubernetes, CI/CD, and cloud-native deployments.\nStrong understanding of AI security, data governance, responsible AI, and enterprise GenAI architecture.\nLife Sciences / Pharma / Healthcare domain expertise is highly desirable.\nExperience integrating GenAI solutions into production-level enterprise applications.","description_format":"text","description_chars":2576,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-11-13T15:03:58Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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