{"id":1230583,"url":"https://alion.io/job/sunovaa-tech-agentic-ai-engineer","title":"Agentic AI Engineer","company":{"id":3800722,"name":"Sunovaa Tech","domain":"sunovaa.com","url":"https://alion.io/company/sunovaa-tech","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":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"FAISS","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Gemini","optional":true},{"name":"Google ADK","optional":true},{"name":"Kubernetes","optional":true},{"name":"Langfuse","optional":true},{"name":"LangSmith","optional":true},{"name":"LoRA","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Neo4j","optional":true},{"name":"OpenAI","optional":true},{"name":"PEFT","optional":true},{"name":"Pinecone","optional":true},{"name":"Qdrant","optional":true},{"name":"QLoRA","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-18T05:07:15Z","employer_posted_date":null,"last_verified_at":"2026-09-18T05:07:15Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Job Title : Generative AI / Agentic AI Engineer\n\nLocation : Pune\n\nExperience : 5+Years\n\nJob Description : \n\nWe are seeking a highly skilled Generative AI / Agentic AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Multi-Agent Systems. The ideal candidate should have strong expertise in NLP, Prompt Engineering, Agentic AI frameworks, and production-scale AI application development.\n\nKey Responsibilities : \n\n- Design and develop Generative AI applications using LLMs and modern AI frameworks.\n\n- Build and optimize RAG and GraphRAG solutions for enterprise knowledge retrieval.\n\n- Develop Agentic AI workflows and Multi-Agent Systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar.\n\n- Create and optimize prompts, tool-calling workflows, and agent orchestration pipelines.\n\n- Integrate LLMs with enterprise data sources, APIs, vector databases, and knowledge graphs.\n\n- Develop scalable backend services and APIs using Python and FastAPI.\n\n- Evaluate, monitor, and improve AI model performance, response quality, and reliability.\n\n- Collaborate with cross-functional teams to translate business requirements into AI-powered solutions.\n\n- Deploy and maintain AI applications on cloud platforms such as Azure, AWS, or GCP.\n\nMandatory Skills : \n\n- 2+ years of hands-on experience in Generative AI / LLM development.\n\n- 3+ years of experience in Natural Language Processing (NLP).\n\n- Strong proficiency in Python.\n\n- Hands-on experience with Large Language Models (LLMs).\n\n- Strong experience with Prompt Engineering.\n\n- Experience with RAG (Retrieval-Augmented Generation).\n\n- Experience building Agentic AI workflows.\n\n- Experience with Multi-Agent Systems.\n\n- Hands-on experience with LangChain and LangGraph.\n\n- Experience integrating AI solutions with vector databases and enterprise data sources.\n\nPreferred Skills : \n\n- GraphRAG, Knowledge Graphs, or Neo4j.\n\n- CrewAI, AutoGen, Google ADK, or similar agent frameworks.\n\n- MCP (Model Context Protocol).\n\n- Vector Databases : Pinecone, ChromaDB, FAISS, Qdrant, Weaviate.\n\n- OpenAI, Azure OpenAI, AWS Bedrock, Gemini.\n\n- LangSmith, LangFuse, or AI observability tools.\n\n- FastAPI, Docker, Kubernetes, CI/CD.\n\n- Fine-tuning, LoRA, QLoRA.\n\nEducation : \n\n- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.\nSkills\nAgentic AI, Artificial Intelligence, Generative AI, RAG, LLM, LangChain, LangGraph, Python, Prompt Engineering","description_format":"text","description_chars":2580,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.775,"p_room":0.9,"age_days":12,"expected_fill_days":23,"reasons":["seen:12","velocity","win:mid"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sunovaa-tech-agentic-ai-engineer","json_url":"https://alion.io/job/sunovaa-tech-agentic-ai-engineer.json","meta":{"generated_at":"2026-10-01T02:57:46Z","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":2348,"day_limit":5000,"remaining_today":2652,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}