Full-Stack Product Engineer
TurbineOne· Engineering
RemoteFull-timePosted 4w ago
About the role
Remote, full-stack product engineer focused on edge-focused ML and autonomy-driven experiences for defense/intelligence use cases.
Responsibilities
- Deliver edge-focused product experiences, integrating the latest in machine learning and autonomy, to support the missions of intelligence officers, frontline soldiers and security forces around the world.
- Work closely with our expert design team to develop novel and intuitive user experiences allowing laypeople to take full advantage of advanced technologies.
- Knowing the limits and shortcomings of machine learning, design systems and application flows that, nonetheless, allow machine learning to be a force multiplier for our frontline warfighters.
- Collaborate with the infrastructure team, and other product teams, to create an efficient and elegant application stack, taking into account the resource constraints of the edge-focused environments we deploy into.
- Work with ML engineers to design and build our internal modeling APIs, making sure they support optimal user experiences on the front end.
Qualifications
- 5+ Years working in full-stack product development positions.
- 3+ years experience with strongly typed languages, such as GoLang, C++, C# or Java.
- Deep understanding of reactive web frameworks, such as Vue and React.
- Experience with API design and best practices for REST, GraphQL and gRPC.
- Experience working with a team to develop a maintainable code base using design documents, code reviews, style guides and other industry best practices.
- A deep love for iterating closely with design to deliver magical experiences to the end user.
Skills
Required:Edge-focused product developmentFrontend frameworksTyped languagesAPI design
Last updated Sep 27, 2026. Interested? Apply on the company site.
About TurbineOne
Mission-AI for the Frontlines
TurbineOne is a mission-driven company delivering Frontline Perception System solutions for real-time threat detection and mission-critical decision making.
AutonomyForce ProtectionFrontline Perception SystemTargetingbessemer-ai-infrastructure-2026inference-inflection-point
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