AI Product Engineer, Clinical Tools
Anywhere in the United StatesFull-TimeMiddle
Salary210000 - 230000 USD per year
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Job Details
- Experience
- 5–8 years
- Required Skills
- AWSPythonSQLAWS LambdaPrompt Engineering
Requirements
- 5–8 years of experience in software or AI/ML engineering, with a meaningful portion in applied AI product development
- Hands-on experience building and operating RAG systems in production
- Strong Python skills
- SQL proficiency sufficient to query data independently
- Experience deploying AI workloads on AWS
- Familiarity with relevant AWS services (e.g., Bedrock, SageMaker, Lambda, RDS/Aurora, S3)
- A product mindset
- Experience with API design and integration
- Healthcare or regulated-domain experience preferred
- Familiarity with LLM safety tooling (e.g., guardrails, output validation frameworks)
Responsibilities
- Define and own the product vision, strategy, and roadmap for Clinical AI tools with no PM layer above you.
- Translate clinical workflow needs into prioritized, sequenced plans and own those decisions through to shipped features.
- Architect, implement, and continuously improve the RAG infrastructure powering clinical decision support.
- Design and iterate on prompt strategies, system instructions, and guardrails to produce reliable, clinically appropriate outputs.
- Deploy and maintain scalable, HIPAA-compliant AI infrastructure on AWS.
- Work with healthcare data sources (EHR-adjacent, structured and unstructured clinical content) and integrate AI outputs into clinical workflows.
- Own the relationship with clinicians and clinical operations directly.
- Partner with backend and frontend engineers to integrate AI capabilities into the broader product.
- Actively track developments in applied AI research, RAG techniques, and agentic workflow design.
- Translate technical AI concepts and tradeoffs for clinical and operational stakeholders.
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