{"id":3145003,"url":"https://alion.io/job/pyor-data-scientist-genai","title":"Data Scientist - GenAI","company":{"id":4403304,"name":"PYOR","domain":"pyor.xyz","url":"https://alion.io/company/pyor","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Kolkata, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Google ADK","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"Google BigQuery","optional":true},{"name":"LangSmith","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Promptfoo","optional":true},{"name":"TruLens","optional":true}],"status":"live","first_seen_at":"2026-10-23T09:35:15Z","employer_posted_date":null,"last_verified_at":"2026-10-23T09:35:15Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"We are looking for experienced Generative AI Engineers with strong expertise in Google Cloud Platform (GCP) and Vertex AI to design, develop, and deploy enterprise-grade AI applications. The ideal candidate should have hands-on experience with LLMs, prompt engineering, RAG, AI agents, and deploying GenAI solutions on GCP.\n\nResponsibilities: \nDesign, develop, and deploy GenAI applications using Google Vertex AI.\nBuild scalable AI solutions leveraging LLMs (Gemini/OpenAI/Llama/Claude).\nImplement RAG (Retrieval-Augmented Generation) pipelines using vector databases.\nDevelop AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or ADK.\nFine-tune foundation models and optimize prompts for enterprise use cases.\nIntegrate GenAI solutions with enterprise applications through REST APIs.\nDeploy AI workloads on GCP using Cloud Run, GKE, Cloud Functions, or Vertex AI Endpoints.\nCollaborate with cross-functional teams to deliver production-ready AI solutions.\nOptimize model performance, scalability, security, and cost.\n\nRequirements: \nEducation: B. E. /B. Tech (Mandatory)\nStrong experience in Python.\nHands-on experience with Google Cloud Platform (GCP).\nExpertise in Vertex AI (Mandatory).\nExperience with LLMs such as Gemini, OpenAI GPT, Llama, Claude, etc.\nStrong knowledge of prompt engineering.\nExperience in RAG architecture and vector databases (Pinecone, FAISS, ChromaDB, Weaviate, and Vertex AI Vector Search).\nExperience with LangChain/LangGraph/CrewAI/AutoGen/Google ADK.\nUnderstanding of REST APIs and microservices.\nFamiliarity with Git, CI/CD, Docker, and Kubernetes.\n\nPreferred Skills: \nExperience with BigQuery, Cloud Storage, Cloud Functions, Cloud Run, and GKE.\nKnowledge of ML lifecycle and MLOps.\nExposure to Agentic AI and Multi-Agent Systems.\nExperience with evaluation frameworks such as LangSmith, Promptfoo, or TruLens.\nGood understanding of cloud security and AI governance.\n\nMandatory Requirements: \nB. E. / B. Tech (Mandatory).\nStrong hands-on experience in GCP + Vertex AI.\nExperience building enterprise GenAI applications.\nImmediate joiners or candidates serving a notice period are preferred.\nWilling to work in hybrid mode from PAN India locations.\nSkills\nGCP, Google Cloud Platform, Python, Vertex AI","description_format":"text","description_chars":2258,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Developer Tools"],"lifecycle":[{"event":"open","at":"2026-10-23T09:35:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":28,"reasons":["seen:3","win:early"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/pyor-data-scientist-genai","json_url":"https://alion.io/job/pyor-data-scientist-genai.json","meta":{"generated_at":"2026-10-27T23:21:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15322,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4403304},"rest":"https://alion.io/mcp/rest/get_company?id=4403304"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpyor-data-scientist-genai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpyor-data-scientist-genai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpyor-data-scientist-genai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pyor-data-scientist-genai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpyor-data-scientist-genai"}]}