Senior AI Software Engineer
Stokespacetechnologies · Kent, Washington; Remote (US) · Posted Jun 19, 2026
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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. An instrumental ingredient to making reusable launch vehicles is the ability to move fast. That is our goal for Boltline by Stoke Space, our commercial software platform that helps advanced hardware manufacturing teams integrate, track, iterate, build, and test efficiently.
As a Senior AI Engineer on the Boltline team, you will design, build, and deploy intelligent systems that augment our platform's capabilities—from agentic workflows that automate complex manufacturing processes to RAG pipelines that surface critical institutional knowledge. You'll architect evaluation frameworks to ensure AI reliability, build developer tooling that empowers the team, and integrate LLMs into production systems that accelerate hardware development. The ideal candidate demonstrates deep expertise in applied AI/ML, a high degree of ownership, and curiosity—balancing fast execution with robust, production-grade engineering.
Responsibilities
Design and implement agentic systems and workflows that automate complex, multi-step manufacturing and engineering processes
Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval
Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI system performance, accuracy, and reliability
Create developer tooling, SDKs, and internal platforms that accelerate AI adoption across the engineering organization
Integrate LLM APIs and orchestration frameworks into production applications
Design end-to-end features across the stack using React, TypeScript, GraphQL , and Postgres
Lead technical design discussions and contribute to architectural decisions for AI-powered features
Partner with pr oduct an d hardware teams to identify high-impact opportunities for AI augmentation
Mentor engineers on AI/ML best practices through code reviews, pairing, and design collaboration
Participate in Boltline Operational Excellence including participating in on-call r otation and other operational activities
Qualifications
4+ years of professional software development experience
Hands-on experience building agentic systems, autonomous workflows, or AI-powered automation
Experience building RAG architectures, integrating vector databases, and deploying semantic search implementations
Experience designing and implementing evaluation frameworks for LLM-based systems
Proficiency with full-stack development: TypeScrip t, Rea ct, GraphQL , and relational databases
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks
Proven ability to own features from concept through deployment and iteration
Excellent collaboration and communication skills within cross-functional teams
Comfort working in a fast-paced, evolving environment with a focus on delivering impact
Preferred Qualifications
Degree in computer science or related field/experience
Experience with prompt/context engineering and fine-tuning
Background in building developer tools, CLIs, or internal platforms
Familiarity with Next.js, Apollo (Client/Se rver), H asura, or similar
Experience with Docker, Kubernetes/ECS, and AWS infrastructure
Familiarity with event-driven architectures using Temporal, Kafka, or similar
Hands-on experience with observability and monitoring for AI systems
Exposure to manufacturing, aerospace, or complex physical systems
Interest in aerospace/manufacturing workflows
Benefits
Equity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees.
Comprehensive benefits program including subsidized medical, dental, and vision insurance
Company-paid life and disability insurance
401(k) plan with employer match
4 weeks’ Paid Time Off
Holidays – 10 days (including an end-of-year closure)
Paid Family/Parental Leave
On-site gym or monthly wellness stipend (depending on location)
Dog friendly offices!
Compensation
Target Levels:
Level 3 Range: $154,350 - $231,525
Level 4 Range: $192,885 - $289,380
Level 5 Range: $231,525 - $347,235
Our job posts are intentionally written to attract a wide variety of experience levels,…