Staff Forward Deployed Engineer
About The Position
Suki is hiring a Staff Forward Deployed Engineer to lead technical delivery for its most important Platform customers. This is an individual contributor role focused on owning complex customer integrations from initial scoping through production. The engineer will turn lessons from customer work into reusable tools and patterns, and provide product feedback to help the broader team deliver faster. The role involves integrating Suki’s AI capabilities into healthcare systems, where production APIs, clinical workflows, and edge cases can vary across customers. It includes onsite customer work and approximately 15% travel.
Requirements
- At least 8 years of experience in forward deployed engineering, solutions engineering, technical consulting, or application development.
- Experience serving as technical lead on complex customer projects, with influence beyond personal work.
- Strong skills in Python, Go, or Java, and working knowledge of TypeScript, JavaScript, and React.
- Experience shipping LLM features to production, including prompt design, evaluation, and trade-offs involving latency, cost, and quality.
- Strong knowledge of OpenAPI 3.0, API design, and API security.
- Experience deploying and running distributed systems on-premises and in the cloud.
- Strong computer science fundamentals, including data structures, algorithms, probability, and system design.
- Clear communication with engineers, clinicians, and executives, including onsite work with customer IT teams.
Nice To Haves
- Healthcare experience, such as HIPAA, EHR integrations, or HL7/FHIR.
- Experience with real-time or streaming systems, such as WebSockets, gRPC, or audio streaming.
Responsibilities
- Lead technical delivery for strategic Platform customers, working directly with their engineering, product, and clinical teams.
- Translate unclear customer requirements into solution designs using dictation, ambient, text generation, and summarization capabilities.
- Make architecture decisions related to security, data handling, and edge cases.
- Build reusable reference implementations and playbooks.
- Deploy distributed applications in on-premises and cloud environments, and own them after launch, including monitoring and incident response.
- Bring customer feedback to Platform, ML, and Product teams and help shape the roadmap.
- Mentor other engineers, review their work, and help with hiring.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
