{"id":2607149,"url":"https://alion.io/job/netscribes-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":1574,"name":"Netscribes","domain":"netscribes.com","url":"https://alion.io/company/netscribes","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":64000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"DeepEval","optional":false},{"name":"Feature Store","optional":false},{"name":"GraphRAG","optional":false},{"name":"Hallucination","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"MLFlow","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"TruLens","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-15T10:07:29Z","employer_posted_date":null,"last_verified_at":"2026-10-15T10:07:29Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"The candidate will have responsibilities across the following functions:\nML Foundation, Lifecycle and MLOps:\nOwn end-to-end ML pipeline design covering data preparation, feature stores, training, evaluation, deployment, and monitoring.\nInstrument and manage model drift, data drift, concept drift, and prediction drift with automated alerting and retraining workflows.\nDefine and enforce ML engineering standards across the team: reproducibility, experiment tracking, code quality.\nAgentic AI Engineering:\nArchitect and build multi-agent systems for complex, stateful, multi-step business workflows.\nDesign agent communication patterns, tool registries, memory management, and failure recovery.\nMove beyond framework defaults; understand what the orchestration layer is doing and when to build custom.\nEvaluate and select agentic frameworks based on problem requirements, not familiarity.\nGenAI and Foundation Model Engineering:\nSelect, fine-tune, and serve foundation models appropriate to the problem; default to fit-for-purpose, not to the most capable or most expensive option.\nManage prompt-to-model drift when a model version changes, understand what breaks and own the evaluation process.\nDesign structured prompt engineering workflows with evaluation harnesses, not ad hoc iteration.\nRAG and Knowledge Systems:\nNetscribes Analytics | Data and AI Centre of Excellence Page 2JOB.\nDESCRIPTION | Lead Consultant, AI Engineering | Data and AI CoE.\nDesign retrieval systems from requirements: choose between naive RAG, hybrid, Graph RAG, or knowledge graph-based approaches based on the problem, not the template.\nSelect and configure vector databases appropriate to the retrieval use case; understand latency, scale, and cost trade-offs.\nOwn retrieval quality end-to-end: relevance scoring, hallucination benchmarking, golden set evaluation.\nProgressively build competency and lead implementation in Graph.\nRAG and structured knowledge retrieval.\nLLM Evaluation and Quality:\nDefine and own the evaluation framework for all LLM and agentic AI solutions from unit evals through end-to-end system testing.\nImplement LLM Eval tooling (RAGAS, TruLens, DeepEval or equivalent) as a standard part of the delivery pipeline, not a post-hoc check.\nEstablish golden datasets and ground truth benchmarks per domain; maintain and evolve them as models and prompts change.\nReport evaluation outcomes clearly to both technical teams and client stakeholders.\nTechnical Leadership and Delivery:\nSet the engineering bar for the AI/GenAI team code reviews, architecture decisions, and design standards.\nWork directly with pre-sales and solution design where technical depth is required in client engagements.\nMentor mid-level engineers; translate ambiguous business requirements into clear engineering specifications.\nRepresent the team credibly in technical client conversations across governance, architecture, and delivery.\nEducation: Graduates only (please ignore pursuing/drop out/12th or 10th pass).","description_format":"text","description_chars":2989,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Market Research"],"lifecycle":[{"event":"open","at":"2026-10-15T10:07:29Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["seen:0","win:early"],"computed_at":"2026-10-15T12:46:03Z"},"pay":null,"html_url":"https://alion.io/job/netscribes-lead-ai-engineer","json_url":"https://alion.io/job/netscribes-lead-ai-engineer.json","meta":{"generated_at":"2026-10-15T12:46:03Z","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":19777,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":1574},"rest":"https://alion.io/mcp/rest/get_company?id=1574"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnetscribes-lead-ai-engineer"},{"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%2Fnetscribes-lead-ai-engineer"},{"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%2Fnetscribes-lead-ai-engineer"},{"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/netscribes-lead-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnetscribes-lead-ai-engineer"}]}