Description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.
We are looking for a full-stack engineer to help shape the future of physical AI by building tools to develop, train, and validate autonomous systems.
Responsibilities
You will work across TypeScript and React applications, backend services, APIs, and Python data workflows, with an emphasis on extensibility and reuse. Your work will bring together internal platforms and open-source software across local and Kubernetes environments. You will build Forge capabilities for simulation, synthetic data generation, training, and test and evaluation, helping engineers turn ideas into proven autonomy capabilities. Working directly with Hivemind Pilot developers, Hivemind Solutions teams, and domain experts, you will translate complex workflows into reliable applications and reusable services. You will own features from user needs and design through implementation, deployment, and support.
Key Outcomes
A successful engineer in this role will help deliver the following outcomes:
- Hivemind teams can complete development and evaluation workflows through coherent applications and dependable services.
- Features work reliably across supported local and cluster environments, with clear diagnostics when something goes wrong.
- Other teams can integrate with and extend Forge through documented APIs and reusable components.
- Changes are straightforward to test, deploy, maintain, and support as the platform evolves.
Requirements
- Experience delivering and supporting production applications, with meaningful contributions to both frontend and backend development.
- Proficiency with TypeScript and React, including component design, state management, asynchronous data handling, and API integration.
- Experience building backend services in Go, Python, or a comparable language, including API design, validation, and error handling.
- Experience working with databases and application data models, including querying, persistence, and schema changes.
- Ability to reason about service interactions, authentication, authorization, background jobs, and failures across application boundaries.
- Familiarity with containers, CI/CD, and deploying and debugging services in a shared environment.
- Clear communication, sound engineering judgment, and the ability to work directly with users and carry work from an ambiguous problem to a supported solution.
Benefits
- Own complete solutions. Shape the user experience, implement the services behind it, and see your work through deployment and real use.
- Build software with direct mission impact. Help engineers develop, validate, and deliver autonomy capabilities more effectively.
- Work alongside engaged users. Partner with autonomy, ML, and simulation experts and see how your decisions affect their daily work.
- Influence a growing platform. Turn practical application needs into shared capabilities that benefit teams across Hivemind, including new AI-assisted engineering workflows.