Full Stack AI Engineer

Sourced from roleweek.com

Lunar Outpost is hiring a Full Stack AI Engineer to build AI-enabled applications for lunar rovers, command-and-control platforms, and orbital assets. You will work across the full stack, from agentic AI systems and multimodal models to backend services, APIs, and web interfaces. The role sits at the intersection of AI, software engineering, robotics, and space operations, supporting mission planning, telemetry analysis, and operator decision support.

• Design, develop, deploy, and maintain full-stack AI applications for robotic systems and Mission Operations
• Build agentic AI systems with reasoning, tool use, retrieval, and workflow execution
• Develop AI tools for natural-language command and control, mission planning, and telemetry analysis
• Build backend services, APIs, data pipelines, and web interfaces connecting AI to operational data
• Integrate LLMs, vision-language models, and multimodal models into production applications
• Design retrieval, context management, memory, and agent orchestration for complex workflows
• Evaluate AI systems for accuracy, reliability, latency, and robustness

• Bachelor's degree in Computer Science, Software Engineering, Machine Learning, AI, Robotics, or related field
• 1 to 3 years of relevant professional, academic, or research experience
• Strong software engineering experience with Python
• Experience with modern web technologies such as TypeScript, JavaScript, HTML/CSS, or React
• Experience developing applications using LLMs or multimodal models
• Experience with agentic AI capabilities such as tool calling, structured outputs, retrieval, or planning
• Experience building backend services, data pipelines, and external integrations
• Experience deploying applications with cloud platforms, containers, CI/CD, and infrastructure-as-code
• U.S. Person required

• Experience with Mission Operations, spacecraft, robotics, or command-and-control systems
• Experience with agent frameworks or tool-use architectures
• Experience with AWS or Azure, Docker, Kubernetes, serverless, and observability platforms
• Experience with telemetry, time-series, geospatial, or operational datasets
• Experience integrating AI with robot perception, planning, simulation, or autonomy systems
• Open-source contributions, publications, patents, or significant project achievements