{"id":3175142,"url":"https://alion.io/job/waayupay-data-scientist-ai","title":"Data Scientist - AI","company":{"id":6184,"name":"WaayuPay","domain":"waayupay.com","url":"https://alion.io/company/waayupay","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":"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":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false}],"status":"live","first_seen_at":"2026-10-23T19:35:15Z","employer_posted_date":null,"last_verified_at":"2026-10-23T19:35:15Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We are seeking an experienced Data Scientist - artificial intelligence with strong expertise in generative AI (GenAI) application development. The ideal candidate should have hands-on experience in building enterprise-grade AI solutions, including copilots, intelligent assistants, Retrieval-Augmented Generation (RAG) pipelines, and agentic AI workflows using modern LLM frameworks.\n\nResponsibilities: \nBuild and develop GenAI applications such as AI copilots, chat interfaces, intelligent assistants, and AI-powered automation workflows.\nDesign and implement Retrieval-Augmented Generation (RAG) pipelines, including embeddings, Retrievers, vector databases, and Prompt Engineering Workflows\nDevelop agentic AI workflows using frameworks such as LangGraph, LangChain Agents, and similar agentic AI frameworks.\nIntegrate LLM-based applications with enterprise APIs, databases, and cloud platforms.\nImplement: Prompt templates, tool calling / tool usage, structured outputs, and orchestration logic.\nOptimise GenAI solutions for accuracy, latency, reliability, and cost efficiency.\nSupport testing, monitoring, and production deployment of GenAI applications.\nImplement responsible AI practices, including guardrails, safety controls, and governance.\n\nRequirements: \nMandatory Technical Skills: Generative AI (GenAI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, AI Copilots / Intelligent Assistants, Prompt Engineering, Embeddings, Vector Databases, Agentic AI Workflows, Enterprise API Integration, Cloud Platform Integration, AI Orchestration, and Production Deployment of GenAI Applications.\nMandatory Skills Checklist: Generative AI (GenAI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Prompt Engineering, Embeddings, Vector Databases, Agentic AI Workflows, Enterprise API Integration, Cloud Platform Integration, AI Copilots / Intelligent Assistants, and Production Deployment of GenAI Applications.\n8+ years of relevant IT experience with strong expertise in AI/ML and generative AI.\nHands-on experience building enterprise-grade GenAI applications using modern LLM frameworks.\nStrong understanding of RAG architecture, agentic workflows, and prompt engineering.\nExperience integrating AI applications with enterprise systems and cloud platforms.\nAbility to optimise AI solutions for scalability, performance, and responsible AI compliance.\n\nPreferred Skills: \nExperience deploying enterprise-scale GenAI solutions.\nKnowledge of responsible AI, guardrails, and AI governance.\nFamiliarity with monitoring and optimising LLM applications in production.\nSkills\nAI, GenAI, LLM, LLMs, LangChain, LangGraph, RAG, artificial intelligence, data scientist, generative AI, large language models, prompt engineering, retrieval-augmented 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