{"id":4091253,"url":"https://alion.io/job/neurealm-lead-ai-ml-engineer","title":"Lead AI ML Engineer","company":{"id":59455,"name":"Neurealm","domain":"neurealm.com","url":"https://alion.io/company/neurealm","size_band":null,"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":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-11-11T17:21:17Z","employer_posted_date":null,"last_verified_at":"2026-11-11T17:21:17Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Posted On\n\n10-11-2026 12:36:26\n\nJob Code\n\nJob_304998\n\nExperience Required\n\n8 - 12 years\n\nLocation\n\nChennai, Tamil Nadu, India (CHN)\n\nJob Summary\n\nJob Title : Senior AI/ML Engineer – Generative AI & Document Intelligence\n\nLocation : Offshore (India)\n\nExperience : 8-12+ Years\n\nCustomer : Patterson Companies\n\nEmployment Type : Full-Time\n\nRole Summary\n\nWe are seeking a Senior AI/ML Engineer with deep expertise in Generative AI, Intelligent Document Processing, Large Language Models (LLMs), Vector Databases, and AI solution engineering.\n\nThe ideal candidate will have hands-on experience designing and implementing enterprise-grade AI solutions leveraging Google Document AI, Retrieval Augmented Generation (RAG), Vector Search, LLM orchestration frameworks, and continuous learning feedback loops.\n\nThis role will be instrumental in developing AI-powered document intelligence solutions, enterprise knowledge assistants, semantic search platforms, and business process automation capabilities.\n\nKey Responsibilities\n\nGenerative AI Solution Development\n\nDesign, build, and deploy enterprise Generative AI solutions.\n\nDevelop AI-powered assistants, copilots, and knowledge retrieval systems.\n\nImplement Retrieval Augmented Generation (RAG) architectures.\n\nIntegrate Large Language Models (LLMs) into enterprise applications.\n\nOptimize prompts, retrieval strategies, and grounding mechanisms.\n\nBuild scalable AI services supporting production workloads.\n\nIntelligent Document Processing\n\nDesign document ingestion and processing pipelines using Google Document AI.\n\nDevelop Solutions For\n\nOCR\n\nDocument Classification\n\nData Extraction\n\nEntity Recognition\n\nForm Processing\n\nInvoice Processing\n\nContract Intelligence\n\nBuild automated workflows to process structured and unstructured documents.\n\nVector Database & Semantic Search\n\nDesign and implement vector search solutions.\n\nGenerate and manage embeddings for enterprise knowledge repositories.\n\nBuild semantic search and contextual retrieval frameworks.\n\nOptimize chunking, indexing, and ranking mechanisms.\n\nManage large-scale vector indexes and retrieval systems.\n\nContinuous Learning & AI Optimization\n\nImplement Human-in-the-Loop (HITL) feedback mechanisms.\n\nDesign continuous learning pipelines to improve AI responses.\n\nMonitor AI model performance and user satisfaction metrics.\n\nBuild Evaluation Frameworks For\n\nHallucination Detection\n\nResponse Quality\n\nRetrieval Accuracy\n\nGrounding Effectiveness\n\nDrive model refinement through feedback loops and usage analytics.\n\nAI Platform Engineering\n\nDevelop scalable AI APIs 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