Truveta is looking to build and scale the engineering frameworks, developer tools, and shared libraries that power their next-generation AI experiences and end-to-end features, enabling researchers to find cures faster, empower clinicians, and help families make informed decisions.
Requirements
- 1+ years of hands-on programming experience in professional, academic, or open-source environments
- 1+ years developing and maintaining Python-based web services (FastAPI experience a plus)
- Experience with cloud platforms such as Azure, AWS, or GCP; Azure experience strongly preferred
- Familiarity with containerized application development (Docker or Kubernetes)
- Experience with MCP (Model Context Protocol) architecture, AI systems or APIs, or large-scale codebases is preferred.
- Solid understanding of software engineering fundamentals - data structures, debugging, testing, and version control (Git)
- Exposure to modern development workflows such as code reviews, CI/CD pipelines, and collaborative development tools
Responsibilities
- Design, implement, and maintain core libraries, SDKs, and reusable modules that enable fast, consistent development across our AI services.
- Build and evolve developer frameworks that support efficient AI model integration, prompt orchestration, and real-time user interactions.
- Collaborate with product, research, and ML engineering teams to deliver infrastructure that improves both system performance and developer experience.
- Participate in code reviews and design discussions to build consensus on best practices and identify opportunities for improvement.
- Work closely with teammates to build alignment and adoption for new tools, frameworks, and patterns that raise our engineering quality bar.
- Enhance observability, logging, and telemetry across the AI stack to support rapid iteration and issue resolution.
- Continue learning new technologies, frameworks, and practices to keep our infrastructure modern and effective.
Other
- This position is based out of our headquarters in the Greater Seattle area.
- LI-hybrid
- Commit to ongoing training in areas like privacy, ethics, and security to uphold user trust and product integrity
- Strong communication and teamwork skills, with a pragmatic and collaborative approach to problem solving
- Growth-oriented mindset - eager to learn, adapt, and contribute to evolving technical areas
