{"id":1292893,"url":"https://alion.io/job/vy-systems-private-limited-generative-ai-engineer","title":"Generative AI Engineer","company":{"id":3798320,"name":"VY Systems","domain":"vysystems.com","url":"https://alion.io/company/vy-systems-private-limited","size_band":null,"is_staffing_agency":true,"employer_type":"agency","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":37000,"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":"Embeddings","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Neo4j","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"Docker","optional":true},{"name":"FAISS","optional":true},{"name":"GCP","optional":true},{"name":"Gemini","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Milvus","optional":true},{"name":"OpenAI","optional":true},{"name":"Pinecone","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-08-11T04:55:16Z","employer_posted_date":null,"last_verified_at":"2026-08-11T04:55:16Z","board_verified":false,"closed_at":null,"days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"Key Responsibilities :\n\n- Design, develop, and deploy Generative AI and LLM-based applications.\n\n- Build and optimize RAG pipelines for enterprise AI use cases.\n\n- Work with LLMs, prompt engineering, embeddings, and vector search technologies.\n\n- Develop AI/ML solutions using Python and relevant frameworks.\n\n- Design knowledge graphs and graph-based solutions using Neo4j.\n\n- Integrate LLMs with enterprise applications, APIs, databases, and external services.\n\n- Evaluate model performance, response quality, accuracy, and relevance.\n\n- Implement techniques to improve LLM responses, including prompt optimization and retrieval strategies.\n\n- Collaborate with product, engineering, and business teams to translate requirements into scalable AI solutions.\n\n- Follow best practices for AI security, scalability, monitoring, and responsible AI development.\n\nRequired Skills & Experience :\n\n- Strong hands-on experience in Generative AI / AI/ML.\n\n- Experience working with Large Language Models (LLMs).\n\n- Strong understanding of RAG architecture and implementation.\n\n- Proficiency in Python and AI/ML frameworks.\n\n- Hands-on experience with Neo4j or other graph databases.\n\n- Experience with embeddings, vector databases, semantic search, and knowledge retrieval.\n\n- Understanding of prompt engineering and LLM evaluation techniques.\n\n- Experience integrating AI solutions through REST APIs and cloud platforms.\n\n- Strong problem-solving and analytical skills.\n\nGood to Have :\n\n- Experience with LangChain, LlamaIndex, or similar GenAI frameworks.\n\n- Exposure to OpenAI, Azure OpenAI, Gemini, Claude, or other foundation models.\n\n- Experience with vector databases such as Pinecone, FAISS, Weaviate, or Milvus.\n\n- Knowledge of cloud platforms such as AWS, Azure, or GCP.\n\n- Experience with AI agents and agentic workflows.\n\n- Exposure to MLOps, CI/CD, Docker, and Kubernetes.\n\nSkills\nMachine Learning, Python, Artificial Intelligence, Generative AI, LLM, Data Science, RAG, Knowledge Graph, LangChain","description_format":"text","description_chars":2000,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T08:01:01Z"}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.317,"p_room":0.35,"age_days":51,"expected_fill_days":24,"reasons":["seen:51","agency","velocity","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vy-systems-private-limited-generative-ai-engineer","json_url":"https://alion.io/job/vy-systems-private-limited-generative-ai-engineer.json","meta":{"generated_at":"2026-10-01T20:37:57Z","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":3038,"day_limit":5000,"remaining_today":1962,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}