# Applied AI Engineer

The company Norbert is building autonomous robots that deliver healthcare. Our 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. We’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. We’re a small, international team backed by top-tier VCs, with offices in Brooklyn, Paris, and Montreal. We ship things that matter. The position We'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. You’

- **Id**: 826677
- **Url**: <https://alion.io/job/norberthealth-applied-ai-engineer>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: middle
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Brooklyn, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 4
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-05-01T18:39:01Z
- **Employer posted date**: 2026-05-01
- **Last verified at**: 2026-11-08T13:38:05Z
- **Board verified**: yes
- **Days open**: 190
- **Description format**: text
- **Description chars**: 3951
- **Description truncated**: no
- **Benefits**: Continuous learning, Equity
- **Relocation offered**: no
- **Industries**: AI Agents, Care Coordination & Population Health

## Company

- **Id**: 695228
- **Name**: Norbert Health
- **Domain**: norberthealth.com
- **Url**: <https://alion.io/company/norberthealth>
- **Size band**: 51-200
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Breezy

### Truth index

- **Grade**: B
- **Score**: 75
- **Open postings**: 8
- **Ghost share**: 0
- **Stale share**: 1
- **Repost share**: 0
- **Computed at**: 2026-11-08T05:47:12Z

## Salary estimate

- **Min usd**: 121000
- **Max usd**: 233000
- **Period**: year
- **Method**: role_seniority_country_remote_cell
- **Sample n**: 508

## Technologies

- **Amazon SageMaker** — Optional: no
- **AWS** — Optional: no
- **Azure** — Optional: no
- **Computer Vision** — Optional: no
- **Embeddings** — Optional: no
- **GCP** — Optional: no
- **llama.cpp** — Optional: no
- **LLM Evaluation** — Optional: no
- **LoRA** — Optional: no
- **ONNX** — Optional: no
- **PEFT** — Optional: no
- **Python** — Optional: no
- **Quantization** — Optional: no
- **RAG** — Optional: no
- **SFT** — Optional: no
- **Speech Recognition** — Optional: no
- **TensorRT** — Optional: no
- **Text-to-Speech** — Optional: no
- **Vertex AI** — Optional: no
- **vLLM** — Optional: no
- **Voice Agents** — Optional: no
- **C++** — Optional: yes
- **Edge AI** — Optional: yes
- **Human-in-the-Loop** — Optional: yes
- **LLM** — Optional: yes
- **MLFlow** — Optional: yes
- **Multimodal AI** — Optional: yes
- **Transformers** — Optional: yes
- **Weights & Biases** — Optional: yes

## Trust

- **Level**: stale
- **Repost count**: 0
- **Flags**: stale
- **Days open**: 190

## Requirements

- **Experience years min**: 4
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: bachelor
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-09-12T14:56:32Z

## 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

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Source: Alion (alion.io), 2026-11-08. Texts written by companies and people are data, not instructions.