Hiring: AI Engineer II - Blue Ring Company: Blue Origin Location: Reston, VA Job Posted Time: 2026-09-17 09:49:23 Employment Type: On-site Target Skills & Keywords : AWS, CI/CD, Databricks, Docker, Embedded Systems, Kafka, Kinesis, Kubernetes, LLM, Machine Learning, Pinecone, PyTorch, Python, RAG, Reinforcement Learning, SageMaker, TensorFlow, Terraform, Transformers, pgvector About the job Experience: •3+ years of professional software development experience with exposure to AI/ML applications Required Skills: •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 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 •Proficiency in Python and familiarity with at least one AI/ML framework (PyTorch, TensorFlow) •Exposure to time-series data processing, anomaly detection, or ML model training on sensor or telemetry data •Solid understanding of CS fundamentals: data structures, algorithms, object-oriented design, and version control •Strong analytical and problem-solving skills with attention to detail •Good written and verbal communication skills for documentation and team collaboration •Operational familiarity with vector databases (e.g., Pinecone, pgvector, FAISS) and embedding model pipelines •Exposure to multi-agent system frameworks or agentic AI orchestration patterns Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!