AI Engineer II, Space Systems & ML Ops

Blue Origin LLC; Seattle (WA); On-site; USD 135,000 - 189,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Education Support Program

Job summary

Blue Origin LLC is seeking an AI Engineer II to contribute to Blue Ring's AI/ML systems for satellite fleet operations. You will work with senior engineers to build agent tooling, knowledge pipelines, and ML models that reduce operator cognitive load and enable fleet-scale management.

Role involves developing multi-agent telemetry analysis, anomaly detection, and time-series forecasting models, with a focus on production-grade AWS/Docker-based services and robust CI/CD practices.

Qualifications

• 3+ years of professional software development experience with exposure to AI/ML applications.
• Experience with building or contributing to LLM-based applications, RAG pipelines, or agent-based systems.
• Exposure to time-series data processing, anomaly detection, or ML model training on telemetry data.
• Strong programming skills and CS fundamentals; familiarity with CI/CD practices.

Responsibilities

• Develop and test multi-agent components within Blue Ring's AI/ML stack for telemetry analysis and anomaly detection.
• Build and maintain integrations connecting agents to ground system services and data pipelines.
• Create tooling, prompts, and orchestration logic for LLM service integrations and RAG workflows.
• Deploy containerized AI services on AWS, maintain audit trails and observability, and support incident response.

Skills

Python

AI/ML frameworks

LLM

RAG pipelines

Time-series data

CI/CD

Version control

Education

Bachelor's degree in CS/ML/EE or related field

Tools

Docker

AWS

Kubernetes

Job description

Blue Origin LLC is seeking an AI Engineer II to contribute to Blue Ring's AI/ML systems for satellite fleet operations. You will work with senior engineers to build agent tooling, knowledge pipelines, and ML models that reduce operator cognitive load and enable fleet-scale management.

Role involves developing multi-agent telemetry analysis, anomaly detection, and time-series forecasting models, with a focus on production-grade AWS/Docker-based services and robust CI/CD practices.