{"id":826677,"url":"https://alion.io/job/norberthealth-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":695228,"name":"Norbert Health","domain":"norberthealth.com","url":"https://alion.io/company/norberthealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brooklyn, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":233000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":508},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"llama.cpp","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LoRA","optional":false},{"name":"ONNX","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"SFT","optional":false},{"name":"Speech Recognition","optional":false},{"name":"TensorRT","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Vertex AI","optional":false},{"name":"vLLM","optional":false},{"name":"Voice Agents","optional":false},{"name":"C++","optional":true},{"name":"Edge AI","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Transformers","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-05-01T18:39:01Z","employer_posted_date":"2026-05-01","last_verified_at":"2026-11-08T08:50:53Z","board_verified":true,"closed_at":null,"days_open":190,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":190},"description":"The company\nNorbert is building autonomous robots that deliver healthcare.\nOur AI sensing platform enables existing robotic platforms to become care team members: rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something’s wrong. Autonomously.\nWe’re not building demos. We’re deployed in real facilities today, monitoring hundreds of patients daily. We’re solving one of healthcare’s hardest problems: a global nursing shortage that will hit 40% by 2030.\nWe’re a small, international team backed by top-tier VCs, with offices in Brooklyn, Paris, and Montreal. We ship things that matter.\nThe position\nWe're looking for an Applied AI Engineer to take our growing collection of foundation models and ML components from manually run, sometimes locally trained workflows to fully automated, production-grade MLOps pipelines: deployed reliably on robots in nursing facilities. We need someone who knows the model landscape cold, treats evaluation as a first-class engineering problem, and has strong opinions about when to prompt, RAG, fine-tune, swap, or buy.\nYou’ll work across cloud and edge deployments, and some of the systems you’ll touch are on a SaMD pathway, so you’ll need to be comfortable shipping under regulatory constraints.\nWhat you’ll do\nIntegrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation, embeddings) into our production pipelines, using both open-weight models and third-party APIs\nBuild RAG and agent-style orchestration for clinical reporting and conversational interfaces\nShip real-time streaming pipelines (voice agents) alongside batch and request-response workloads\nBuild evaluation harnesses that catch regressions across model swaps and measure performance against clinical-grade accuracy targets\nFine-tune and retrain models (LoRA, PEFT, supervised fine-tuning) using data collected from our deployed fleet\nDeploy across our inference surfaces: third-party APIs, self-hosted, and on-robot edge\nBuild the data flywheel: pipelines that collect, label, version, and feed production data back into model improvement\nPartner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines\nWhat we’re looking for\nBS in Computer Science, Engineering, or a related field, or equivalent hands-on experience\n4+ years shipping ML/AI systems in production outside of academic settings\nStrong working knowledge of the modern foundation model landscape (open-weight LLMs and VLMs, common detection/segmentation backbones, embedding models)\nHands-on experience with PEFT/LoRA and supervised fine-tuning\nStrong Python; comfortable with the deployment toolchain (ONNX, quantization, at least one inference runtime-TensorRT, vLLM, llama.cpp, etc.)\nExperience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or equivalent)\nAbility to work independently, solve complex problems, and drive projects to completion\nBonus points\nEdge ML deployment (Jetson, ARM, mobile NPUs)\nReal-time voice AI pipelines (STT, TTS, streaming LLM)\nProduction RAG systems beyond toy implementations\nMedical devices, SaMD, or other regulated ML environments\nMLOps tooling (Weights & Biases, MLflow, DVC, etc.)\nActive learning or human-in-the-loop labeling workflows\nC++ for integrating with our computer vision pipeline\nWhat we offer\nReal impact: your code provides care for patients today\nHigh autonomy and technical ownership-you’ll define how we operate AI in production\nWork at the intersection of cutting-edge AI, edge computing, and healthcare\nA talented, excellent, diverse and international team\nEquity participation in the company’s future\nCutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing\nTransparent, mission-driven culture focused on continuous learning\nCompetitive salary and equity","description_format":"text","description_chars":3951,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Care Coordination & Population Health"],"lifecycle":[{"event":"open","at":"2026-09-12T14:56:32Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.208,"p_room":0.28,"age_days":190,"expected_fill_days":30,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/norberthealth-applied-ai-engineer","json_url":"https://alion.io/job/norberthealth-applied-ai-engineer.json","meta":{"generated_at":"2026-11-08T10:20:03Z","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":22239,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":695228},"rest":"https://alion.io/mcp/rest/get_company?id=695228"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnorberthealth-applied-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%2Fnorberthealth-applied-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%2Fnorberthealth-applied-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/norberthealth-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnorberthealth-applied-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":826677}},{"tool":"search_jobs","arguments":{"company":"norberthealth.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":826677},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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