{"id":2771286,"url":"https://alion.io/job/qentelli-lead-ai-engineer-llmrag","title":"Lead AI Engineer - LLM/RAG","company":{"id":1798376,"name":"Qentelli","domain":"qentelli.com","url":"https://alion.io/company/qentelli","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":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":60000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Falcon","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Hallucination","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Mistral","optional":false},{"name":"OpenAI","optional":false},{"name":"PEFT","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"RLHF","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"PostgreSQL","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-08-21T06:46:02Z","employer_posted_date":null,"last_verified_at":"2026-08-21T06:46:02Z","board_verified":false,"closed_at":null,"days_open":64,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":64},"description":"Job Summary : \n\nWe are seeking a Lead AI Engineer to drive the design, development, and deployment of our conversational AI and generative AI systems, including LLM-powered chatbots, Retrieval-Augmented Generation (RAG) pipelines, and agentic AI applications. This is a hands-on technical leadership role you'll architect production-grade AI systems, guide a team of AI/ML engineers, and work closely with Product and Data Engineering to deliver reliable, scalable, and safe AI experiences.\n\nKey Responsibilities : \n\n- Architect and lead development of LLM-based applications, including chatbots, virtual assistants, and copilots.\n\n- Design and implement RAG pipelines including chunking strategies, embedding generation, vector search, re-ranking, and prompt construction.\n\n- Build and maintain agentic workflows using frameworks such as LangChain, LlamaIndex, or custom orchestration layers.\n\n- Design prompt engineering and prompt management systems, including versioning and A/B testing of prompts.\n\n- Implement evaluation frameworks for LLM output quality hallucination detection, relevance scoring, latency, and safety benchmarks.\n\n- Build robust MLOps/LLMOps pipelines for model deployment, monitoring, versioning, and rollback (CI/CD for AI systems).\n\n- Ensure systems are designed for low latency, scalability, and cost-efficiency in production environments.\n\n- Collaborate with Data Engineering to ensure clean, structured data feeds into embeddings and knowledge bases.\n\n- Implement guardrails, content moderation, and safety mechanisms to mitigate prompt injection, data leakage, and harmful outputs.\n\n- Mentor and provide technical leadership to a team of AI/ML engineers; conduct design and code reviews.\n\n- Stay current with the fast-evolving GenAI/LLM landscape and evaluate new tools, models, and techniques for adoption.\n\nRequired Skills & Qualifications : \n\n- 6+ years of experience in AI/ML engineering, with 2+ years in a lead or senior technical capacity.\n\n- Strong programming skills in Python, with production experience in ML/AI systems.\n\n- Hands-on experience building LLM applications : chatbots, RAG systems, or generative AI products in production.\n\n- Practical experience with RAG components : chunking strategies, embedding models, vector databases, retrieval and re-ranking.\n\n- Experience with LLM orchestration frameworks : LangChain, LlamaIndex, Semantic Kernel, or similar.\n\n- Experience working with LLM APIs and platforms (OpenAI, Anthropic Claude, Google Gemini) and/or hosting open-source LLMs (Llama, Mistral, Falcon).\n\n- Familiarity with fine-tuning techniques (LoRA, QLoRA, PEFT, RLHF) and when to apply them vs. prompting/RAG.\n\n- Experience with vector databases and semantic search (Pinecone, Weaviate, Milvus, FAISS, pgvector).\n\n- Solid understanding of MLOps/LLMOps practices : model versioning, monitoring, A/B testing, CI/CD for ML.\n\n- Experience with cloud AI platforms (AWS Bedrock/SageMaker, GCP Vertex AI, Azure OpenAI).\n\n- Strong grasp of evaluation methodologies for generative AI (hallucination rate, groundedness, relevance, latency/cost trade-offs).\n\n- Understanding of AI safety and responsible AI practices guardrails, bias mitigation, prompt injection defense.\n\n- Experience mentoring engineers, driving architecture decisions, and leading technical roadmaps.\nSkills\nLLM, RAG, Python, Machine Learning, Artificial Intelligence, LangChain, MLOps, LORA, OpenAI","description_format":"text","description_chars":3418,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Software Testing & QA","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-17T04:49:54Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.524,"p_room":0.28,"age_days":63,"expected_fill_days":27,"reasons":["seen:63","velocity","win:tail","crowd:"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/qentelli-lead-ai-engineer-llmrag","json_url":"https://alion.io/job/qentelli-lead-ai-engineer-llmrag.json","meta":{"generated_at":"2026-10-25T02:53:53Z","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":4391,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":1798376},"rest":"https://alion.io/mcp/rest/get_company?id=1798376"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqentelli-lead-ai-engineer-llmrag"},{"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%2Fqentelli-lead-ai-engineer-llmrag"},{"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%2Fqentelli-lead-ai-engineer-llmrag"},{"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/qentelli-lead-ai-engineer-llmrag\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqentelli-lead-ai-engineer-llmrag"}]}