{"id":4067966,"url":"https://alion.io/job/zensar-technologies-aes-ai-engineer","title":"AES-AI Engineer","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":88,"open_postings":52,"ghost_share":0.135,"stale_share":0.096,"repost_share":0.423,"time_to_fill_p50_days":7,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"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":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Copilot Studio","optional":true},{"name":"Cursor","optional":true},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-11-11T10:07:41Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T12:19:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description -AI Engineer\nExperience: 2-7 Years\nAbout the Role\nWe are looking for a Generative OR Agentic AI Engineer with hands-on experience in building AI-powered applications using LLMs, Agentic AI frameworks, and modern cloud platforms. The ideal candidate should be able to independently prototype, develop, and demonstrate innovative AI solutions while effectively communicating with both technical and business stakeholders.\nKey Responsibilities\nGenerative AI & Agentic AI\nBuild end-to-end GenAI applications using OpenAI, Claude, Gemini, Mistral, Llama, etc.\nDevelop AI agents and multi-agent systems using LangGraph, AutoGen, CrewAI, LlamaIndex, or similar frameworks.\nDesign and implement RAG-based applications with vector databases and embedding models.\nRapidly create and showcase AI PoCs and production-ready solutions.\nAI Innovation & Experimentation\nFine-tune LLMs/SLMs for domain-specific use cases.\nCreate synthetic datasets for training and evaluation.\nEvaluate AI agents for performance, reliability, accuracy, and latency.\nExplore emerging standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication.\nCollaboration & Communication\nTranslate business requirements into AI-powered solutions.\nPresent AI concepts, demos, and outcomes to technical and non-technical audiences.\nCollaborate with cross-functional teams to drive AI innovation initiatives.\nRequired Skills\nStrong proficiency in Python, AI/ML, MLOps, Prompt Engineering, Embeddings, and Model Orchestration\nHands-on experience with LLMs, Agentic AI, RAG, Vector Databases, and Cloud Platforms (AWS/Azure/GCP/Databricks)\nExperience building scalable AI applications beyond notebooks.\nStrong problem-solving, presentation, and stakeholder management skills.\nGood to Have\nMicrosoft Copilot Studio\nDatabricks Mosaic AI\nDevRev\nCursor\nCodium\nAtlassian AI\nQualifications\nBachelor's/Master's degree in Computer Science, AI/ML, or related field.\n2-7 years of experience in Software Development, AI/ML, or GenAI Engineering.\nProven ability to independently drive AI experiments from ideation to working demos and production-ready 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