About this opportunity
Blue Origin lists this Software Developer III - AI Services opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!
This role is part of Enterprise Technology (ET), where we're developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin's mission. Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies.
We are seeking a Software Engineer III - AI services to join the DIS team. You will help develop and deliver the AI and machine learning capabilities, spanning multi‑agent monitoring, AI/ML Model - Audio/Video and Natural Language to SQL, conversational knowledge retrieval, and AI‑assisted decision‑making for enterprise. This role requires a hands‑on engineer with deep expertise across the full AI/ML development lifecycle, from building multi‑agent systems and retrieval‑augmented generation pipelines to training and deploying models.
We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!
Key Responsibilities:
Design and implement scalable, low‑latency AI services powering metadata generation and feature extraction with advanced features like semantic search, knowledge graph visualization, and AI‑powered recommendations for Natural‑language to SQL engine and Audio/Video metadata
Develop and deploy Agentic AI solutions, including autonomous agents, multi‑agent orchestration frameworks, and LLM‑powered workflows, that transform business processes across Finance, Supply Chain, and other enterprise domains
Build and manage vector database infrastructure, embedding pipelines, and retrieval strategies to deliver accurate answers to operator queries
Build models for computer vision, feature extraction, content understanding, and object detection using LLMs, Deep Learning and Transformers
Own features end‑to‑end: from project estimation and architecture review through coding, deployment, and post‑launch measurement
Build resilient systems with strong observability, bringing to bear automated testing, monitoring, and CI/CD pipelines using infrastructure‑as‑code tools like Terraform
Lead on‑call rotations; drive root‑cause analysis, observability improvements, and operational excellence
Required Qualifications:
BS or MS degree in Computer Science, Mathematics, Statistics, or related field
5+ years of professional software development experience with focus on building RESTful APIs and AI/ML applications, in cloud environments, and containerized workloads (we use AWS)
Proficiency in one or more programming languages such as Python (Preferred), Java, or Go with and at least one AI/ML framework (PyTorch, TensorFlow)
Experience designing and operating RAG pipelines, including vector databases, embedding models, Audio/Video feature extraction, and retrieval strategies
Hands‑on experience building and deploying multi‑agent systems, agentic AI workflows, or LLM‑based applications in production
Proficiency with Large Language Models (LLMs) for code generation, debugging, and development assistance
Knowledge of professional software engineering practices including coding standards, code reviews, source control, build processes, testing, and operations
Solid understanding of CS fundamentals: object‑oriented design, algorithms, and problem‑solving
Preferred Qualifications:
PhD in Computer Science, Mathematics, Statistics, or related field
Experience with reinforcement learning, including multi‑agent RL, deep Q‑networks, or policy gradient methods
Understanding formal verification, safety‑critical systems, or graduated autonomy frameworks
Experience building observability and audit systems for AI decision pipelines in regulated or mission‑critical domains
Research publications in machine learning, multi‑agent systems, or applied AI, and/or open‑source contributions
Base Pay Range for:
WA applicants is $164,652.00 - $230,512.80
Other site ranges may differ
Culture Statement
Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.