Staff Software Engineer, AI Tooling

Vast • Long Beach, CA

12h • Onsite

About The Position

At Vast, our mission is to contribute to a future where billions of people are living and thriving in space. Vast is developing next-generation space stations to ensure a continuous human presence in space for America and its allies, enabling advanced microgravity research and manufacturing, and unlocking a new space economy for government, corporate, and private customers. Using an incremental, hardware-rich and low-cost approach, Vast is rapidly developing its multi-module Haven Station. Haven Demo’s 2025 success made Vast the only operational commercial space station company to fly and operate its own spacecraft. Next, Haven-1 is expected to become the world’s first commercial space station when it launches, followed by additional Haven modules to enable permanent human presence by 2030. Our team is all-in, committed to executing our mission safely and on time. If you want to work with the most talented people on Earth furthering space exploration for humanity, come join us.
Vast is looking for a Staff Software Engineer, AI Tooling reporting to the Senior Manager, Software Engineering to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.
This will be a full-time, exempt position located in our Long Beach location.

Requirements

• Bachelor's degree in computer science, math, an engineering discipline, or equivalent work experience
• 5+ years of software development or relevant industry experience
• Strong full-stack development experience with Python and TypeScript
• Demonstrated understanding of AI/ML concepts, large language model architectures, and modern AI tooling patterns
• Ability to travel up to 50% of the time
• Willingness to work evenings and/or weekends to support critical mission milestones
• Ability to lift up to 25 lbs unassisted
• Specific certifications, as appropriate

Nice To Haves

• Experience with OpenWebUI or similar open-source AI interface platforms
• Experience with Svelte or SvelteKit
• Experience building or integrating MCP (Model Context Protocol) servers and gateways
• Experience with LLM API integration, prompt engineering, and AI pipeline development
• Experience with containerization and deployment (Docker, Kubernetes)
• Familiarity with RAG (Retrieval-Augmented Generation) patterns and vector databases
• Experience working in fast-paced, ambiguous environments with evolving requirements

Responsibilities

• Design and develop frontend customizations for OpenWebUI and other internal AI platforms using Svelte and TypeScript
• Build and maintain complex MCP (Model Context Protocol) gateways to connect AI models with internal tools and data sources
• Develop custom pipelines for AI response enforcement, content safety, and output formatting
• Architect and implement full-stack features that serve diverse AI use-cases across the company
• Collaborate with IT Infrastructure to integrate AI tooling with existing systems and infrastructure
• Rapidly iterate on AI tooling as the technology landscape and company needs evolve
• Evaluate and adopt emerging AI frameworks, models, and patterns to improve internal tooling
• Contribute to the technical direction of Vast's AI platform strategy as the founding member of the AI engineering function

Benefits

• 100% medical, dental, and vision coverage for employees and dependents, generous paid time off
• up to 20+ days of vacation for exempt staff and up to 10+ days of vacation for non-exempt staff with the ability to cash-out unused vacation annually, paid parental leave, short and long-term disability insurance, life insurance, access to a 401(k) retirement plan, ClassPass credits, personalized mental healthcare through Spring Health, and other discounts and perks
• We also take pride in offering exceptional food perks, with snacks, drip coffee & onsite barista, cold drinks, and dinner meals remaining free of charge, and lunch subsidized as part of Vast’s ongoing commitment to providing high-quality meals for employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees