AI Solutions Engineer

Knit Health • San Francisco, CA

17h

About The Position

Knit Health is building a novel clinical foundation model to improve the way healthcare is delivered. We combine expertise in AI with deep clinical knowledge to develop safe, trustworthy systems that improve care, expand access, and reduce waste. Knit is led by a founding team from the University of California Berkeley who have developed a novel AI architecture which learns to reason like physicians. We’re now closing the loop and using our novel foundation model, together with frontier clinical LLMs, to build a next generation clinical intelligence platform for providers. We are venture backed and have partnered with multiple US-based health systems and data providers.

Requirements

• 3+ years of experience in backend or full-stack development.
• Proficiency in Python and SQL.
• 2+ years of experience designing and developing APIs for ease-of-use, maintainability, and observability.
• Experience with concurrency, asynchronous patterns, and event-driven architectures.
• Knowledge of data modeling fundamentals.
• Familiarity with cloud platforms (Azure, AWS, or GCP), containerization, and deployment pipelines.
• Experience writing automated tests and testing best practices, including mocking and dependency injection.
• Strong communication skills with the ability to understand and translate complex analytical data and technical analyses for diverse audiences.

Nice To Haves

• Familiarity with healthcare (clinical and administrative) workflows.
• Familiarity with Epic, Cerner, or other electronic health record systems.
• Experience with FHIR, X12, and other healthcare data standards; experiencing handling HIPAA-covered data and associated compliance issues.
• Experience building LLMs and/or integrating LLMs technically with back end products.
• Although this role involves backend work only, familiarity with Javascript, Typescript, and front-end frameworks is a plus.
• Prior work in a startup or high-growth environment.

Responsibilities

• Collaborate directly with health system partners to audit their clinical workflows and technical ecosystems, ensuring our integration strategies align with their specific EHR environments and capabilities.
• Co-design and implement robust API layers to ingest clinical data and deliver model-derived insights back into client-facing systems, whether through custom-built endpoints or the orchestration of existing vendor APIs.
• Own the end-to-end data translation process, building flexible transformation layers that normalize disparate clinical schemas (EHR, claims, etc.).
• Develop the critical business logic (primarily in Python, SQL) that sits atop our core AI models—designing the constraints, validations, and enhancements that ensure model outputs are clinically safe, contextually relevant, and actionable.
• Design and maintain the back-end infrastructure required to support real-time and batch-processing pipelines, ensuring high availability and low latency as we scale to new therapeutic contexts.
• Establish comprehensive monitoring, observability, and debugging frameworks to proactively identify and resolve performance bottlenecks, data drift, or other defects within our production environments.
• Act as the primary bridge between the field and our AI research team, translating real-world implementation challenges into core engineering requirements that shape the long-term capabilities of our foundational models.

Benefits

• medical, dental, and vision coverage with 100% of premiums paid for employees and dependents (full coverage for dental, vision, and our Gold medical plan; employees may choose to buy up to Platinum); coverage begins on the first day of employment.
• 401(k) plan
• 24 days of PTO annually.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed