Stoke Space

SeniorAIInfrastructureEngineer

$165–235k ~AI est. Kent, Washington, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Problems you'll solve

Root cause analysis; Troubleshooting; Translate fuzzy business problems

Eligibility Requirements

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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