{"id":3159613,"url":"https://alion.io/job/ibm-ibm-databricks-generative-ai-engineer-mosaic-ai","title":"IBM - Databricks Generative AI Engineer (Mosaic AI)","company":{"id":86,"name":"IBM","domain":"ibm.com","url":"https://alion.io/company/ibm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"IBM Careers","truth_index":{"grade":"A","score":100,"open_postings":30,"ghost_share":0,"stale_share":0,"repost_share":0.033,"time_to_fill_p50_days":15,"computed_at":"2026-10-29T05:49:05Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-10-23T15:35:27Z","employer_posted_date":null,"last_verified_at":"2026-10-23T15:35:27Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"We are looking for an experienced Databricks Generative AI Engineer with expertise in building enterprise-grade AI applications using Databricks Mosaic AI. The ideal candidate should have hands-on experience in developing Retrieval-Augmented Generation (RAG) solutions, AI agents, LLM-based applications, and prompt engineering using Python. Experience with LangChain, Hugging Face, and modern AI development frameworks is essential.\n\nResponsibilities: \nDesign, develop, and deploy generative AI applications using Databricks Mosaic AI.\nBuild retrieval agents and single-agent applications on Databricks.\nDevelop Retrieval-Augmented Generation (RAG) solutions using Large Language Models (LLMs).\nImplement prompt engineering, prompt evaluation, and LLM orchestration techniques.\nIntegrate AI applications with APIs for data preparation and model chaining.\nMonitor, evaluate, and optimise generative AI applications for performance and governance.\nCollaborate with cross-functional teams to build scalable, production-ready AI solutions.\nFollow best practices for AI governance, monitoring, and enterprise deployment.\n\nRequirements: \n8-12 years of experience with 4+ years of relevant experience.\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.\nStrong understanding of generative AI concepts and enterprise AI application development.\nExcellent analytical, problem-solving, and communication skills.\nExperience working in Agile development environments is preferred.\nKey Skills: Databricks Mosaic AI, Retrieval-Augmented Generation (RAG), AI Agent Development, Python, Large Language Models (LLMs), Prompt Engineering, LangChain / Hugging Face Transformers, REST APIs, AI Governance, Generative AI Deployment Tools and Technologies, and LLM Frameworks.\n\nMandatory Skills: \nMinimum 4+ years of relevant experience in generative AI, Databricks, or AI/ML application development.\nHands-on experience with Databricks Mosaic AI.\nStrong experience in Retrieval-Augmented Generation (RAG) and AI agent development.\nStrong programming expertise in Python.\nExperience working with large language models (LLMs) and prompt engineering.\nHands-on experience with LangChain and/or Hugging Face Transformers.\nExperience integrating AI applications using APIs and model orchestration frameworks.\n\nPreferred Skills: \nExperience building enterprise-scale Generative AI applications.\nKnowledge of AI governance, monitoring, and evaluation.\nExperience with model chaining and LLM orchestration.\nStrong analytical, problem-solving, and communication skills.\nSkills\ndatabricks, mosaic, python, rag, retrieval-augmented generation","description_format":"text","description_chars":2678,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","LLM & Generative AI","Quantum Science & Computing","Quantum Computing Hardware"],"lifecycle":[{"event":"open","at":"2026-10-23T15:35:27Z"}],"visa":[],"liveness":{"score":79,"band":"hot","label":"Hiring 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