AI Engineer contributing to prototype development for future autonomous systems at Saab. Collaborating with teams to explore AI capabilities in simulation - driven environments.
About the role
- Design and build end-to-end AI systems — from data ingestion and preprocessing to model training, deployment, and monitoring
- Develop and refine predictive, scoring, and recommendation models that quantify session quality, track patient progress, and personalize care plans
- Fine-tune and evaluate large language models (LLMs) to enhance provider and patient experiences through reliable, clinically safe interactions
- Prototype and iterate rapidly on AI-powered product features, integrating stakeholder feedback to ensure measurable impact
- Collaborate with engineering and product teams to scale ML infrastructure and ensure reliability, transparency, and observability
Requirements
- Have 7+ years of experience in data science, ML engineering, or applied AI, with proven success taking models from prototype to production
- Have strong grounding in machine learning fundamentals — feature design, validation, bias mitigation, and evaluation
- Are fluent in Python and familiar with modern AI tooling (OpenAI, Hugging Face, LangChain)
- Have experience building recommendation or personalization systems using behavioral or text-based data
- Are experienced with fine-tuning and evaluating LLMs, and understand their limitations, safety, and interpretability
- Have worked with text or conversational datasets, ideally in healthcare, coaching, or behavioral settings
- Are motivated by zero-to-one challenges — defining frameworks, building new systems, and driving measurable impact.
Benefits
- This role has the option to be in-person/hybrid in NYC, or fully remote depending on candidate location
- The expected base pay range for this position is $225,000–$275,000, based on qualifications and experience
- Comprehensive health insurance plans, including dental and vision
- Generous PTO 🏖️
- 401k with match 💰
- Citibike membership 🚲
- Unlimited dietitian care 🍓
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
GR
Gugu RoboticsAI Engineer – AI System Calibration, Optimization
AI Engineer specializing in AI system calibration and optimization for clients. Working directly with engineering teams to improve AI models and workflows in Azure environment.
RG
Royal Caribbean GroupSenior Gen AI Engineer
Senior Gen AI Engineer at Royal Caribbean Group designing and developing full - stack GenAI applications. Collaborating with teams and leveraging cloud and AI technologies based in Miami, Florida.
ID
AI Engineering intern at IDEMIA working on algorithms for identity technologies. Involves collaboration with diverse teams and focuses on innovation in biometrics and cryptography.
AI
Aleph Group, IncAI Architect
Lead AI Architect responsible for strategy and execution of AI systems at Aleph. Shaping future digital advertising through innovative AI - powered products.
EI
Euromonitor InternationalAI Engineer I
Join Euromonitor International as an AI Engineer I, contributing to data science in a brand new AI team. Collaborate across global offices to build analytical and machine learning solutions.
EI
Euromonitor InternationalLead AI Engineer
Lead AI Engineer shaping AI systems at Euromonitor International in a new team. Collaborate on innovative AI projects with a focus on LLMs and RAG.
EI
Euromonitor InternationalAI Engineer – III
AI Engineer III developing machine learning capabilities in a new team at Euromonitor International. Collaborating with cross - functional teams to deliver innovative AI solutions.
FC
Ford Motor CompanySenior Manager – AI Engineering
Senior Manager driving Ford's AI strategy and engineering. Leading cross - functional teams in delivering enterprise - grade AI products and services in Dearborn.
MC
Madello ConsultingAI Engineer, Full-Stack
AI Engineer specializing in building AI solutions and virtual assistants. Involved in creating scalable, secure, and well - documented AI components for government or enterprise contexts.