Stoke Space
SeniorAIInfrastructureEngineer
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“Senior AI Infrastructure Engineer at Stoke Space. Skills: AI Infrastructure, LLM applications, Agentic systems, RAG systems. Design AI-powered internal tools. Build AI-powered internal tools”
What You'll Achieve.
Accelerate people building rockets; Meaningfully accelerate people building rockets; Remove friction; Unlock new capabilities; Ship AI tooling that works
Industry & Context.
Root cause analysis; Troubleshooting; Translate fuzzy business problems
U. S. citizen or permanent resident, Eligible for export authorizations
What They're Looking For.
Must Have
Bachelor's or Master's degree in CS or related field, 5–8 years of experience, 2+ years building/shipping production AI/LLM systems, Proficiency in Python, TypeScript, or Go, Deep LLM tooling experience, Software engineering fundamentals, Experience integrating with enterprise systems, Understanding of AI security/privacy concerns, U. S. citizen or permanent resident
Nice to Have
Experience building agentic systems, Experience with vector databases, Experience deploying AI on AWS, Experience with model fine-tuning, Familiarity with ITAR/export controls
What You'll Do.
Design AI-powered internal tools
Build AI-powered internal tools
Deploy AI-powered internal tools
Build LLM-powered applications
Build intelligent workflow automations
Integrate with internal systems
Integrate with data sources
Partner with stakeholders
Identify AI tooling opportunities
Translate requirements into technical specs
Evaluate foundation models
Build prompt evaluation
Make build-versus-buy decisions
Develop AI engineering stack
Maintain AI engineering stack
Implement evaluation practices
Implement testing practices
Implement monitoring practices
Design integrations with internal systems
Design integrations with data telemetry
Design integrations with document stores
Design integrations with code repositories
Design integrations with business applications
Apply security practices to AI tooling
Apply compliance practices to AI tooling
Operate AI services in production
Produce technical documentation
Mentor team members on AI best practices
Raise the bar across the organization
How You'll Work.
Team & Collaboration
Work with engineers; Work with operators; Work with business stakeholders; Cross-functional teams; Internal tooling team
Communication Scope
Translate business problems
Process & Methodology
Roadmap planning
Full Job Description
At Stoke, we believe a thriving space economy will enable a vibrant, sustainable, and equitable future here on Earth. That is why we’re building Nova, our fully and rapidly reusable launch vehicle. Designed for daily flight, Nova tackles the core challenges of space transportation by reducing cost, increasing availability, and improving reliability. By radically lowering launch costs and increasing flight cadence, we’re helping create a truly scalable space industry. Our team is mission-driven, collaborative, and empowered to take ownership of their work. If you want to work alongside some of the most dedicated and talented people on Earth, we’d love to have you join us. Description Reusable launch systems are the key to seamlessly connecting Earth and space. Just as our rocket systems are designed to be reliable, automated, and intelligent, the internal tools that power our engineering and business operations must embody those same principles to help our teams move faster, work smarter, and stay focused on the mission. We are looking for a Senior AI Infrastructure Engineer to design, build, and deploy AI-powered tooling across Stoke’s internal systems. As part of our IT Internal Tooling team, you will identify high-leverage opportunities to apply AI - including large language models, agentic systems, retrieval pipelines, and intelligent automation - and turn them into production-grade tools that meaningfully accelerate the people building rockets. This role requires deep technical expertise in modern AI engineering, software development, and systems integration, combined with a strong product instinct for what to build, what not to build, and how to ship AI tooling that actually works. You will work closely with engineers, operators, and business stakeholders across Stoke to understand their workflows, identify where AI can remove friction or unlock new capabilities, and design and implement robust solutions end-to-end. This is a high-impact role where your work di
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