Full Stack AI Engineer

Lunar Outpost • Arvada, CO

1d • $105,000 - $140,000 • Hybrid

About The Position

As a Full Stack AI Engineer at Lunar Outpost, you will design, develop, deploy, and maintain AI-enabled applications for rovers, command-and-control platforms, terrestrial robotic systems, and orbital assets. The role spans AI, software engineering, robotics, and space operations, building tools that help operators understand complex systems, plan missions, command autonomous assets, analyze telemetry, and make decisions. You will work across the application stack, including AI models and agentic systems, APIs, backend services, web interfaces, cloud infrastructure, and integrations with operational systems. Work may involve AI agents, tool use, retrieval-augmented generation, multimodal models, natural-language interfaces, mission planning, anomaly investigation, and intelligent decision-support systems. You will collaborate with robotics, autonomy, software, simulation, and Mission Operations teams to turn emerging AI capabilities into reliable operational tools.

The position is onsite Monday, Tuesday, Thursday, and Friday from 9:00 a.m. to 5:00 p.m. Where applicable, remote work is permitted on Wednesdays from 9:00 a.m. to 5:00 p.m. Additional hours may be required based on business needs.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Robotics, or a related technical field.
• 1 to 3 years of relevant professional, academic, or research experience developing software, AI applications, autonomous systems, or intelligent robotic applications.
• 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.
• Experience developing applications using large language models, multimodal models, or other modern AI models through APIs, hosted services, or locally deployed models.
• Experience developing agentic AI applications involving capabilities such as tool calling, structured outputs, retrieval, workflow orchestration, planning, or multi-step reasoning.
• Experience building backend services, data pipelines, and integrations with external systems.
• Experience deploying applications using cloud platforms and modern deployment technologies such as containers, CI/CD pipelines, and infrastructure-as-code.
• Experience designing AI tools and interfaces that allow models or agents to interact with software systems, data sources, or external services.
• Ability to communicate complex technical concepts, system behavior, limitations, and risks to multidisciplinary teams.
• Comfort working in an agile and interdisciplinary environment where requirements and technical approaches may evolve rapidly.
• Must be a U.S. Person.

Nice To Haves

• 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.

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.

Benefits

• Medical, dental, and vision coverage, with 70% of premiums covered by the employer.
• Three weeks of vacation per year.
• Up to 4% employer match on 401(k) contributions.
• 11 company-recognized paid holidays.
• Parental leave.
• Educational reimbursement opportunities to support company objectives, continued learning, and career development.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level