AI Engineer II - Blue Ring

Blue Origin; Reston (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Blue Origin seeks an AI Engineer II to contribute to the AI/ML systems for Blue Ring ground operations, including multi-agent telemetry analysis, anomaly detection, and knowledge retrieval. You will help build, test, and deploy agents and ML models alongside senior engineers.

You will work on RAG pipelines, agent tooling, and production AI services, with on-site collaboration in Reston, VA, Kent, WA, or Renton, WA offices.

Qualifications

• Bachelor's degree in CS, ML, EE, or a related field.
• 3+ years of professional software development with exposure to AI/ML.
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
• Experience with LLM-based applications, RAG pipelines, or agent-based systems.
• Exposure to time-series data processing or telemetry data ML training.

Responsibilities

• Develop and test multi-agent components for telemetry analysis, anomaly detection, and reporting.
• Build and maintain integrations connecting agents to ground system services.
• Develop agent tooling, prompts, and orchestration for LLM services.
• Create and maintain RAG pipelines with document ingestion, embedding, and vector indexing.
• Implement human-in-the-loop decision workflows and remediation options.
• Deploy and maintain containerized AI services using Docker and AWS.
• Contribute to audit trails, observability, and production operations including incident response.

Skills

Python

AI/ML

LLM-based apps

RAG pipelines

Time-series data

AWS

Docker

CI/CD

PyTorch

TensorFlow

Education

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

Tools

PyTorch

TensorFlow

Docker

AWS

Job description

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

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!

The role is part of the In-Space Systems business unit, which is focused on addressing two of the most compelling challenges in spaceflight today: space infrastructure and increasing mobility on-orbit.

Blue Ring is Blue Origin's multi-mission space mobility platform, and this team is building the next generation of intelligent ground systems that will redefine how satellite fleets are operated-moving beyond manual monitoring and reactive processes.

We are seeking an AI Engineer II to join the Blue Ring software team. You will contribute to the AI and machine learning capabilities embedded in Blue Ring's ground system, spanning multi-agent monitoring, conversational knowledge retrieval, and ML-driven anomaly detection that empower satellite operations at fleet scale. In this role, you will help build agent tooling, maintain RAG knowledge pipelines, develop telemetry ML models, and support production AI services that operators rely on daily.

Role and Responsibilities:

As a member of the Blue Ring AI/ML engineering team, you will contribute to the AI/ML systems that form the intelligence layer for Blue Origin's satellite fleet operations. Working alongside senior engineers, you will help build, test, and deploy the agents, knowledge pipelines, and ML models that reduce operator cognitive burden and enable fleet-scale management. You will be expected to:

Multi-Agent System Development:

• Implement and test agent components within the multi-agent architecture for telemetry analysis, anomaly detection, and reporting
• Build and maintain integrations that connect agents to ground system services
• Develop agent tooling, prompt templates, and orchestration logic for LLM service integrations
• Build and maintain RAG pipeline components including document ingestion, embedding generation, and vector database indexing
• Implement retrieval strategies and answer generation workflows for operator queries
• Implement components for human-in-the-loop decision workflows, including investigation packages and remediation options
• Deploy and maintain containerized AI services using Docker and AWS infrastructure
• Contribute to audit trail, observability systems, and production operations including incident response

Model Development (Post-training and Time-series Analysis):

• Prepare and transform spacecraft telemetry data for ML model training
• Assist in training and evaluating anomaly detection and time-series forecasting models on telemetry data
• Support automated model retraining pipelines that incorporate new flight data and operator feedback
• Develop model evaluation scripts and metrics tracking

Required Qualifications:

• Able to work onsite in one of our Kent, WA, Renton, WA, or Reston, VA offices.
• Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field
• 3+ years of professional software development experience with exposure to AI/ML applications
• Proficiency in Python and familiarity with at least one AI/ML framework (PyTorch, TensorFlow)
• 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 sensor or telemetry data
• Experience with cloud platforms (AWS preferred), containerization (Docker), and basic CI/CD practices