Senior Engineer AI Engineering
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build AI-powered learning tools, technical training content, and hands-on workshops. You will integrate LLMs and generative AI into production systems, automate learning-material improvements, evaluate AI quality, and turn complex product concepts into practical learning solutions.
Requirements
- Experience building production software, AI-enabled products, developer tools, technical learning platforms, or comparable systems
- Experience integrating large language models, generative AI APIs, retrieval-augmented generation, agents, prompt workflows, or AI-assisted automation into production or enterprise environments
- Software engineering experience with API design, testing, observability, documentation, secure coding, maintainable architecture, and operational ownership
- Professional Python proficiency
- Ability to read, debug, and create examples in modern C++
- Experience creating technical documentation, hands-on labs, workshops, developer education, or enablement materials
- Experience evaluating AI systems using automated tests, human review, telemetry, or task-based performance measures
- Experience with autonomy, robotics, aerospace, defense, simulation, distributed systems, or safety-critical software
- Experience with developer education, instructional design, learning science, intelligent tutoring systems, or assessment design
- Familiarity with AI evaluation and observability, prompt and agent testing, vector databases, enterprise search, model gateways, and deployment in restricted or disconnected environments
Responsibilities
- Develop an AI-powered training coach for Hivemind concepts, products, and development workflows
- Create technical training materials and hands-on workshops
- Build prompt-based tooling that generates workshops and learning content
- Create LLM-based tooling to improve training and educational materials
- Build AI systems that automate Learning and Development workflows
Benefits
- Bonus
- Equity
