Software Engineer II - AI Solutions

BLUE ORIGIN • Seattle, WA

23h • $134,961 - $188,945 • Onsite

About The Position

This role is part of Blue Origin Operations — which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance — supporting Manufacturing and Supply Chain across all Blue Origin facilities. You will sit on the software team within Operations that builds tools in direct support of our Manufacturing Engineers. We are returning humankind to the Moon, and Blue Origin's Manufacturing Engineers build the hardware that gets us there. On our small AI Solutions team, you will help build the full-stack applications and AI-powered tools that put new capabilities in the hands of a 100+ person Manufacturing Engineering organization — so those engineers can spend more time on the engineering they trained for and less on tedious, repetitive work. You'll learn the full stack: front-end interfaces MEs use every day, the services and data pipelines behind them, and LLM-driven features that process manufacturing and work-order data at scale. This is a software engineering role at its core, and a place to grow into one — the best engineers here also make a point of understanding the people they build for, so you'll spend time on the floor with Manufacturing Engineers to learn the work before building for it.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, another engineering or technical field, or equivalent practical experience
• Foundational software engineering ability: writing and debugging code, and a working understanding of core computer-science fundamentals (data structures, algorithms) and the software development lifecycle
• Working ability with front-end web development (e.g., JavaScript/TypeScript, React or a comparable framework) and with a backend language such as Python
• Familiarity with relational databases (SQL) and working with APIs (REST and/or GraphQL)
• Interest in and exposure to building with LLMs — using AI to build software and/or building AI-powered features
• Strong communication and collaboration; able to work directly with non-technical users and learn a problem before building for it

Nice To Haves

• A demonstrated track record of building useful tools or applications with AI/LLMs — personal projects, internal tools, or prototypes that people actually used. (top differentiator)
• Manufacturing, aerospace, hardware-production, or operations domain knowledge — especially hands-on familiarity with how a Manufacturing Engineer's work flows (work-order authoring, build support, non-conformance resolution, BOM management). (top differentiator)
• Prior experience building software in, or in direct support of, a manufacturing, aerospace, or operations environment — including career-changers moving into software from an engineering discipline.
• Experience with internal component libraries or design systems (e.g., BlueKit) and data/reporting tools (e.g., Redash)
• Exposure to cloud infrastructure (AWS, containers such as Kubernetes) and CI/CD
• Familiarity with manufacturing execution systems (MES), work-order/work-instruction authoring systems, or PLM
• Exposure to LLM/RAG pipelines or agentic AI workflows

Responsibilities

• Build and maintain features in our full-stack web applications — working across the front-end interface, backend services, and data pipelines on task-level assignments with guidance from senior engineers.
• Help maintain and improve existing applications that MEs already rely on — including cleanup and hardening, not just new features.
• Help build AI/LLM-powered features that process manufacturing and work-order data at scale, and assist with tasks like work-order authoring — applying appropriate human-in-the-loop safeguards.
• Practice the full software development lifecycle on your work: writing code, tests, and documentation, and deploying with support from the team.
• Participate in code review as an author, addressing feedback to improve code quality, and support the team's services including the on-call rotation as you ramp.
• Spend time with Manufacturing Engineers to learn how their work actually flows, and help turn real-world workflows into tools they'll adopt.
• Embrace learning at every opportunity — rapidly picking up new technologies and the team's core stack.

Benefits

• Medical
• dental
• vision
• basic and supplemental life insurance
• paid parental leave
• short and long-term disability
• 401(k) with a company match of up to 5%
• Education Support Program
• Stock Options for all regular employees (working at least 20 hours/week)
• Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours
• up to 14 company-paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level