Senior AI Engineer — Space Systems & Multi-Agent ML

Blue Origin LLC; United States; On-site; USD 165,000 - 231,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Stock options

Paid time off

401(k) with company match

Job summary

Blue Origin is seeking an AI Engineer III to join the Blue Ring software team in Kent, WA or Reston, VA. You will build and deploy AI/ML capabilities across multi‑agent monitoring, anomaly detection, and decision support for satellite fleet operations.

The role requires hands-on coding across the full AI/ML lifecycle, including training and deploying time-series models, RAG pipelines, and containerized services on AWS. Strong collaboration and documentation skills are essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or related field.
• 5+ years of professional software development experience with a focus on AI/ML applications in production environments.
• Proficiency in Python and at least one AI/ML framework (PyTorch, TensorFlow).
• Hands-on experience building and deploying multi-agent systems, agentic AI workflows, or LLM-based applications in production.
• Experience designing and operating RAG pipelines, including vector databases, embedding models, and retrieval strategies.

Responsibilities

• Develop and deliver AI/ML capabilities embedded in Blue Ring's ground system.
• Build multi-agent systems coordinating telemetry analysis, anomaly detection, flight dynamics, and mission planning.
• Develop and deploy RAG pipelines over manuals, procedures, design documents, and historical logs.
• Manage vector database infrastructure, embedding pipelines, and retrieval strategies.

Skills

Python

PyTorch

TensorFlow

Multi-agent systems

LLM workflows

Education

Bachelor's or Master's in CS/ML/EE

Tools

Docker

Kubernetes

AWS

Vector databases

Job description

Blue Origin is seeking an AI Engineer III to join the Blue Ring software team in Kent, WA or Reston, VA. You will build and deploy AI/ML capabilities across multi‑agent monitoring, anomaly detection, and decision support for satellite fleet operations.

The role requires hands-on coding across the full AI/ML lifecycle, including training and deploying time-series models, RAG pipelines, and containerized services on AWS. Strong collaboration and documentation skills are essential.