Software Developer III - AI Services

Sourced from justjobs.com

Blue Origin is hiring a Software Engineer III for its Enterprise Technology team to build and deliver AI and machine learning capabilities across the enterprise. The role spans multi-agent systems, retrieval-augmented generation pipelines, computer vision, and natural-language-to-SQL services. You will own features end-to-end, from architecture and coding through deployment and observability, supporting safe human spaceflight.

• Design and implement scalable, low-latency AI services for metadata generation and feature extraction
• Develop and deploy agentic AI solutions, multi-agent orchestration frameworks, and LLM-powered workflows
• Build and manage vector database infrastructure, embedding pipelines, and retrieval strategies
• Build computer vision models for feature extraction, content understanding, and object detection
• Own features end-to-end from estimation and architecture review through deployment and measurement
• Build resilient systems with observability, automated testing, monitoring, and CI/CD using Terraform
• Lead on-call rotations and drive root-cause analysis and operational excellence

• BS or MS in Computer Science, Mathematics, Statistics, or related field
• Experience in computer vision for feature extraction, content understanding, and object detection using LLMs, Deep Learning, and Transformers
• 5+ years of professional software development experience building RESTful APIs and AI/ML applications in cloud and containerized environments (AWS)
• Proficiency in Python (preferred), Java, or Go and at least one AI/ML framework (PyTorch, TensorFlow)
• Experience designing and operating RAG pipelines with vector databases, embedding models, and retrieval strategies
• Hands-on experience building and deploying multi-agent systems, agentic AI workflows, or LLM-based applications in production
• Proficiency with LLMs for code generation, debugging, and development assistance
• Knowledge of software engineering practices including coding standards, code reviews, source control, build processes, testing, and operations
• Solid understanding of CS fundamentals: object-oriented design, algorithms, and problem-solving

• PhD in Computer Science, Mathematics, Statistics, or related field
• Experience with reinforcement learning, including multi-agent RL, deep Q-networks, or policy gradient methods
• Understanding of 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