Trovohealth

Product Engineer, AI / ML

New York

Sponsorship not specified$200k-$250kDetected 42 days ago

PythonFull-Stack DevelopmentSQLAWSMachine LearningPandasNLPLLMsAgentic AICommunication

About the role

This is a broad-scope, hands-on engineering role for a technical builder with strong ML fundamentals, production experience, and a product-oriented mindset.
As an early member of the engineering team, you will play a critical role in designing, training, deploying, and operating the ML systems that power Thesis's AI coordinator.

Develop NLP and LLM-powered features: Design, evaluate, and deploy models using modern NLP frameworks and LLM APIs, with a strong focus on real-world performance and reliability.
Operate at production scale: Architect and maintain cloud-based ML workflows in AWS, including containerized services and orchestration for data processing, training, and inference.
Contribute across the product: Collaborate across the stack-from APIs and backend systems to product UX and workflow design-to deliver cohesive, AI-driven features.
Production AI experience: Hands-on experience building and operating NLP and/or LLM-powered systems in production, including frameworks such as spaCy, LangChain, and extensive LLM API usage.
Cross-functional communication: Ability to collaborate effectively with engineers, product leaders, and clinical stakeholders.
Full-stack capabilities: Comfort contributing beyond core ML work, including APIs, system design, or frontend-adjacent development when needed.

3+ years of experience ingesting, structuring, and analyzing diverse data sources, with strong proficiency in Python, SQL, and data tooling (e.g., pandas or equivalent).
ML and data depth: 3+ years of experience ingesting, structuring, and analyzing diverse data sources, with strong proficiency in Python, SQL, and data tooling (e.g., pandas or equivalent).

Experience working in AWS environments, including containerized workloads and orchestration for training and inference.

Target compensation for this role is $200-$250k, plus equity and a generous benefits package.

Target compensation for this role is $200-$250k, plus equity and a generous benefits package.
Build and own AI systems end-to-end: Ingest, structure, and analyze large volumes of unstructured healthcare data, and design production-grade data and ML pipelines for both training and inference.
Healthcare familiarity: Experience working with healthcare data and an understanding of the constraints of regulated environments, or strong motivation to develop this expertise.

Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.
We're based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.
Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity.
We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.

This listing is sourced directly from Trovohealth's careers page and normalized into a canonical job model.