{"id":3168798,"url":"https://alion.io/job/zensar-technologies-genai-developer-3","title":"GenAI Developer","company":{"id":59576,"name":"Zensar Technologies","domain":"zensar.com","url":"https://alion.io/company/zensar-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":87,"open_postings":56,"ghost_share":0.161,"stale_share":0.071,"repost_share":0.411,"time_to_fill_p50_days":5,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, 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Services. \nBuild Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases. \nDevelop scalable REST APIs using FastAPI and Flask. \nIntegrate Vision LLMs for image, document, and multimodal understanding. \nBuild document processing pipelines using PyMuPDF for PDF extraction, parsing, and preprocessing. \nImplement semantic search using FAISS Vector Database. \nEngineer prompts and optimize LLM responses for enterprise use cases. \nDevelop AI-powered chatbots, document Q&A, summarization, and intelligent automation solutions. \nOptimize AI models for latency, scalability, and cost efficiency. \nIntegrate AI solutions with enterprise applications and cloud services. \nImplement monitoring, evaluation, and experimentation frameworks using Opik or similar LLM observability tools. \nCollaborate with product managers, architects, data scientists, and software engineers to deliver AI solutions. \nEnsure AI applications follow security, governance, and responsible AI best practices. \nRequired Skills\nGenerative AI\nLarge Language Models (LLMs) \nPrompt Engineering \nRetrieval-Augmented Generation (RAG) \nEmbeddings \nSemantic Search \nAI Agents \nFunction Calling \nContext Management \nModel Evaluation \nCloud & AI Platforms\nAzure OpenAI Service \nAzure AI Services \nAzure Cognitive Search (preferred) \nAzure Storage \nAzure Functions (preferred) \nProgramming\nPython (Advanced) \nFastAPI \nFlask \nREST API Development \nAsync Programming \nAI Frameworks & Libraries\nLangChain \nLlamaIndex \nPyMuPDF \nFAISS Vector Database \nVision LLMs \nOpenAI SDK \nTransformers (preferred) \nDevelopment Tools\nVisual Studio Code (VS Code) \nPyCharm \nGit \nGitHub/Azure DevOps \nDocker \nObservability & Evaluation\nOpik \nPrompt evaluation \nLLM monitoring \nExperiment tracking \nPerformance benchmarking \nRequired Experience\n5-10 years of software development experience with strong Python expertise. \nMinimum 2-4 years of hands-on experience in Generative AI and LLM-based application development. \nExperience implementing enterprise RAG architectures. \nStrong experience with Azure OpenAI. \nExperience integrating Vision LLMs for document and image processing. \nHands-on experience with vector databases such as FAISS. \nExperience building production-ready AI APIs using FastAPI or Flask. \nExperience processing large PDF/document repositories using PyMuPDF. \nExperience with AI evaluation and observability tools such as Opik. \nExperience deploying AI applications in cloud environments. \nNice-to-Have Skills\nLangGraph \nAutoGen/CrewAI \nAzure AI Search \nCosmos DB \nPostgreSQL \nRedis \nKubernetes \nMLflow \nHugging Face \nOCR (Azure Document Intelligence, Tesseract) \nCI/CD pipelines \nMLOps\nok\n 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