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Lunar Outpost

Autonomous lunar rovers and space robotics

Full Stack AI Engineer

AI Application Engineering +1Posted on Nov 9
Full-timeGolden, CO, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Robotics, or a related technical field is required.
  • One to three years of relevant professional, academic, or research experience developing software, AI applications, autonomous systems, or intelligent robotic applications is required.
  • Strong software engineering experience using Python and experience with one or more modern web development languages or frameworks such as TypeScript, JavaScript, HTML/CSS, React, or similar technologies are required.
  • Experience developing applications using large language models, multimodal models, or other modern AI models through APIs, hosted services, or locally deployed models is required.
  • Experience developing agentic AI applications involving capabilities such as tool calling, structured outputs, retrieval, workflow orchestration, planning, or multi-step reasoning is required.
  • Experience building backend services, data pipelines, and integrations with external systems is required.
  • Experience deploying applications using cloud platforms and modern deployment technologies such as containers, CI/CD pipelines, and infrastructure-as-code is required.
  • Experience designing AI tools and interfaces that allow models or agents to interact with software systems, data sources, or external services is required.
  • Ability to communicate complex technical concepts, system behavior, limitations, and risks to multidisciplinary teams is required.
  • Comfort working in an agile and interdisciplinary environment where requirements and technical approaches may evolve rapidly is required.
  • U.S. Person status is required.

Responsibilities

  • Design, develop, deploy, and maintain full-stack AI applications supporting robotic systems, command and control, and Mission Operations.
  • Develop agentic AI systems capable of reasoning, tool use, information retrieval, workflow execution, and interaction with external software and services.
  • Build AI tools for natural-language command and control, mission planning, telemetry analysis, anomaly investigation, mission summarization, and operator decision support.
  • Develop backend services, APIs, data pipelines, and application interfaces that connect AI systems with operational data and robotic platforms.
  • Build web-based interfaces that enable operators to interact with AI agents, robotic systems, telemetry, and mission data.
  • Integrate large language models, vision-language models, multimodal models, and other AI capabilities into production applications.
  • Develop tools and interfaces that allow AI agents to safely interact with command-and-control systems, databases, simulation environments, autonomy frameworks, and other operational services.
  • Design and implement retrieval, context management, memory, tool registries, structured outputs, and agent orchestration for complex AI workflows.
  • Evaluate AI systems for accuracy, reliability, latency, robustness, and operational usefulness, including developing automated and scenario-based evaluation frameworks.
  • Participate in design reviews, trade studies, technical risk assessments, test-readiness reviews, and demonstrations.

Desired Qualifications

  • Experience developing AI applications for Mission Operations, spacecraft operations, robotics operations, command-and-control systems, or other operationally complex environments.
  • Direct experience supporting Mission Operations, robotic operations, flight operations, or autonomous vehicle operations.
  • Experience with agent frameworks, agent orchestration, or tool-use architectures.
  • Experience with cloud platforms such as AWS or Azure and technologies such as Docker, Kubernetes, serverless computing, databases, messaging systems, and observability platforms.
  • Experience working with telemetry, time-series data, geospatial data, mission data, or other complex operational datasets.
  • Experience integrating AI applications with robot perception, planning, simulation, autonomy, or command-and-control systems.
  • A record of technical innovation demonstrated through deployed systems, open-source contributions, publications, patents, or significant project achievements.

About the Company

Lunar Outpost

Autonomous lunar rovers and space robotics

Lunar Outpost builds robotic systems for space and Earth, focusing on lunar surface mobility and in-situ resource utilization, including the MAPP autonomous rovers for mobility-as-a-service on the Moon and the Lunar Terrain Vehicle for Artemis, plus terrestrial Canary sensors. MAPP rovers autonomously navigate the Moon to carry payloads, while the LTV supports astronauts and deploys infrastructure; Canary sensors monitor air quality on Earth and were adapted from space-dust detection, with Nokia testing lunar 4G connectivity. The company differentiates itself with a service-based mobility model and partnerships (NASA, GM, Goodyear, Lockheed Martin), plus a track record of commercial lunar landings and a focus on payload delivery and infrastructure. Its goal is to lower the cost of space exploration, spur a cislunar economy, and enable sustained lunar activity through reliable mobility, resource use, and communication-enabled systems.

Company size
51-200
Company stage
Series B
Total funding
$44.5M
Headquarters
Golden, CO
Founded
2017

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