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Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation’s security. As we expand, we’re building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you’re joining our Hardware, Software, or Services division, you’ll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.
The Services team is Spear AI’s applied engineering and technical advisory arm - embedded alongside government customers to design, build, and operate the AI pipelines, data infrastructure, and software systems that take emerging AI capability from concept to fielded mission impact. The team brings together machine learning engineers, data engineers, software engineers, cloud architects, and operational subject matter experts who pair deep technical skill with a working understanding of how the Intelligence Community and DoD actually function day to day. Services engagements vary from small, focused capability sprints to multi-year embedded support across classified environments.
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You’re forward‑thinking. You take initiative and don’t wait to be handed a backlog.
You’re flexible. You’re comfortable with ambiguity and eager to push the technical state of the art.
You own the problem. You can spot a mission gap, frame a solution, and drive it to delivery.
You dive deep. You need to understand how things actually work, and you build prototypes and experiments to prove it.
You live on the bleeding edge. You track upcoming platform features and can’t wait for the next nightly to drop.
You’re a great teacher. You break down complex concepts for any audience and make the ideas click.
You’re mission‑driven. “Operationally relevant” isn’t a buzzword to you, it’s the bar you expect to clear.
We ship — We don’t work on 18-month projects that are irrelevant before they’re even finished.
Our work has impact — We build products that are deployed to U.S. submarines and integrate with the sonobuoys we manufacture.
We’re growing responsibly — We have the resources to hire a lot more people, but we don’t want to build a massive team of people who don’t share our values.
We’re remote — Work from wherever you want. We collaborate in real time on Slack or asynchronously via GitHub.
We’re profitable — We aren’t burning through cash trying to make the business work. But we also have investors who believe in us and are committed to our success.
We care about doing great work — You don’t need permission to sweat the details here.
We don’t take ourselves too seriously — We’re building products that make the world safer. But we don’t let that get to our heads.
TS/SCI CI Poly clearance
Strong AWS cloud skills (ECS/EKS, Lambda, S3, IAM, RDS, and CloudWatch)
Experience with GitLab and GitLab CI/CD pipelines
DevSecOps exposure (secure coding, automated testing, container/dependency scanning)
Familiarity with MCP servers or tool-using LLM systems
Familiarity with AI/ML concepts and patterns for integrating ML services into applications
Military experience strongly preferred
Intelligence Community experience strongly preferred
Unlimited PTO — Take the time you need to recharge and maintain work-life balance.
Dedicated sick time — Your health and well-being come first.
Comprehensive health and benefits – Medical, dental, and vision coverage to keep you and your family protected.
11 Paid Holidays — Enjoy time off throughout the year to celebrate and spend time with loved ones.
Professional development — Educational opportunities and resources to help you grow your skills and advance your career.
Collaborative environment — Work directly with leadership in our flat organizational structure, where your ideas and contributions matter.
Mission-driven work — Contribute to projects that directly support national security and make a real-world impact.
Artificial Intelligence & Machine Learning for National Security
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Mid · 4+ years experience
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