{"id":1506793,"url":"https://alion.io/job/luminite-services-agentic-aigenai-engineer","title":"Agentic AI/GenAI Engineer","company":{"id":3843036,"name":"Luminite Services","domain":"luminiteservices.com","url":"https://alion.io/company/luminite-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Chroma","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"Hallucination","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"pgvector","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":"Semantic Kernel","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"Agile","optional":true},{"name":"Google ADK","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-09-30T05:29:33Z","employer_posted_date":null,"last_verified_at":"2026-09-30T05:29:33Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Role Overview:\n\nWe are seeking a highly skilled Agentic AI / GenAI Engineer (Data Scientist) to design, develop, and deploy production-grade AI systems. The ideal candidate will have strong expertise in building LLM-powered applications, implementing Retrieval-Augmented Generation (RAG), and deploying scalable AI solutions on cloud platforms such as Google Cloud.\n\nKey Responsibilities:\n\n- Design and build scalable AI/ML solutions using LLMs and GenAI frameworks\n\n- Develop APIs and backend services using Python (FastAPI/Flask)\n\n- Implement RAG architectures including ingestion, chunking, embeddings, retrieval, and evaluation\n\n- Work on prompt engineering, tool/function calling, and structured outputs\n\n- Deploy and monitor AI models using MLOps/LLMOps practices\n\n- Ensure security, governance, and compliance (PII handling, prompt injection prevention, data leakage control)\n\n- Build production-ready systems and real-world AI applications\n\n- Collaborate with cross-functional teams for solution design and delivery\n\nCore Technical Skills:\n\n- Strong programming skills in Python\n\n- Experience with FastAPI, REST APIs, async processing\n\n- Hands-on experience in LLM application development\n\n- Strong understanding of embeddings, vector search, prompt design, evaluation, and hallucination control\n\n- Experience in RAG implementation using vector databases (Pinecone, Weaviate, FAISS, Chroma, pgvector)\n\n- Knowledge of LLM security & guardrails\n\nCloud & Platform Skills (GCP MUST):\n\n- Experience with Vertex AI / Gemini or equivalent platforms\n\n- Experience in deployment using Cloud Run / GKE / similar cloud services\n\n- Exposure to evaluation frameworks such as RAGAS, Evals, custom evaluation pipelines\n\nAgent Frameworks:\n\n- Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen\n\nGood to Have:\n\n- Google Agent Development Kit (ADK), Gemini Enterprise / Agent Engine\n\n- Model monitoring & observability tools, multi-agent system architecture, human-in-the-loop workflows, knowledge graph or enterprise search integration\n\nCandidate Profile:\n\n- Strong problem-solving and analytical mindset\n\n- Ability to build end-to-end AI solutions from prototype to production\n\n- Experience working in agile environments\n\n- Excellent communication and collaboration skills\nSkills\nPython, Generative AI, LangChain, FastAPI, Vertex AI, Agentic AI, Data Science, RAG, Flask, Prompt Engineering","description_format":"text","description_chars":2405,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-30T06:02:59Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":30,"reasons":["seen:1","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/luminite-services-agentic-aigenai-engineer","json_url":"https://alion.io/job/luminite-services-agentic-aigenai-engineer.json","meta":{"generated_at":"2026-10-01T09:36:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":278,"day_limit":5000,"remaining_today":4722,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}