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Full-Stack Product Engineer

TurbineOne· Engineering
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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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