Job Summary:
Blue Origin is a company focused on developing reusable, safe, and low-cost space vehicles and systems. They are seeking an AI Engineer III to join the Blue Ring software team, where the main responsibilities include developing AI and machine learning capabilities for satellite fleet operations and optimizing multi-agent systems for enhanced decision-making and anomaly detection.
Responsibilities:
• Implement and optimize multi-agent systems that coordinate across telemetry analysis, anomaly detection, flight dynamics, and mission planning domains
• Build and maintain agent orchestration frameworks that integrate with LLM services and ground system services for reliable agent execution with observability and memory
• Develop and deploy RAG pipelines over flight manuals, operations procedures, design documents, and historical log files
• Manage vector database infrastructure, embedding pipelines, and retrieval strategies to deliver accurate answers to operator queries
• Implement human-in-the-loop decision workflows where agents present investigation plans and remediation options for operator approval
• Develop confidence scoring and validation systems for AI recommendations
• Deploy containerized AI services on AWS with infrastructure-as-code, CI/CD pipelines, observability, and automated testing
• Support on-call rotations and drive root-cause analysis for production issues
• Develop anomaly detection models that identify telemetry deviations beyond threshold-based monitoring
• Train and deploy sequence-based models for failure prediction on telemetry data
• Build automated model retraining pipelines that incorporate operator feedback and new flight data
• Explore compressed models for resource-constrained deployment scenarios
Qualifications:
Required:
• Able to work onsite in one of our Kent, WA, Renton, WA, or Reston, VA offices.
• Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or a 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
• Experience with time-series ML models (RNNs, LSTMs, Transformers) for anomaly detection or forecasting on sensor/telemetry data
• Experience with cloud platforms (AWS preferred), containerization (Docker, Kubernetes), and CI/CD pipeline implementation
• Knowledge of professional software engineering practices including code reviews, source control, automated testing, and operational excellence
• Strong analytical and problem-solving skills with attention to detail
• Excellent written and verbal communication skills for documentation and cross-team collaboration
Preferred:
• Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services
• Experience with Databricks or similar platforms for large-scale data engineering and ML model training
• Familiarity with spacecraft operations, satellite telemetry, or aerospace systems
• Experience with reinforcement learning, including multi-agent RL, deep Q-networks, or policy gradient methods
• Experience with graph neural networks for network optimization or topology-aware problems
• Background in model compression, quantization, or edge deployment for resource-constrained environments
• Experience with real-time data streaming systems (Kafka, Kinesis) and high-frequency data ingestion
• 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
Company:
Blue Origin is an aerospace company that focuses on lowering the cost of spaceflight and helping to explore the solar system. Founded in 2000, the company is headquartered in Kent, USA, with a team of 10001+ employees. The company is currently Late Stage.