Staff AI Engineer at Airwallex designing and deploying intelligent financial automation systems. Utilizing AI frameworks and collaborating across teams for innovative production solutions.
About the role
- Lead AI Engineer designing AI systems to enhance Berry Street’s evidence-based nutrition therapy platform. Combining data science and machine learning for personalized and effective care delivery.
Responsibilities
- 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 🍓
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