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Full Stack AI Engineer
Lunar Outpost
2 hours ago
Full-time
On-site
Golden, Colorado, United States
Are you passionate about shaping the future of humanity's presence in space? Lunar Outpost, a trailblazer in space robotics, invites you to join our team! As a Full Stack AI Engineer, you will design, develop, and deploy AI-enabled applications for Lunar Outpost’s rovers, command-and-control platforms, terrestrial robotic systems, and orbital assets. Working at the intersection of AI, software engineering, robotics, and space operations, you will build intelligent tools that help operators understand complex systems, plan missions, command autonomous assets, analyze telemetry, and make decisions. You will develop across the full application stack, from AI models and agentic systems to APIs, backend services, web interfaces, cloud infrastructure, and integrations with operational systems. Your work may include AI agents, tool use, retrieval-augmented generation, multimodal models, natural-language interfaces, mission planning, anomaly investigation, and intelligent decision-support systems. You will collaborate closely with robotics, autonomy, software, simulation, and Mission Operations teams to transform emerging AI capabilities into reliable operational tools.
Take the #NextLeap with Lunar Outpost and work on the Pegasus LTV, which will carry NASA astronauts farther than they've ever been before on the lunar surface!
Working Conditions / Schedule This position is required to be onsite Monday, Tuesday, Thursday, and Friday from 9:00 a.m. to 5:00 p.m. Where applicable, employees may work remotely on Wednesdays from 9:00 a.m. to 5:00 p.m. Additional hours may be required based on business needs.
Key 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 intuitive 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
Required Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Robotics, or 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
Comfortable working in an agile and interdisciplinary environment where requirements and technical approaches may evolve rapidly
U.S. Person
Preferred Qualifications
Experience developing AI applications for Mission Operations, spacecraft operations, robotics operation s, 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
Compensation & Benefits Compensation level and base salary are competitively structured and thoughtfully determined based on factors such as relevant skills, experience, education, and the scope of the role.
Comprehensive health coverage: Medical, dental, and vision benefits, with 70% of premiums covered by the employer
Paid time off: Three (3) weeks per year of vacation
Retirement plan: Up to 4% employer match on 401(k) contributions
Paid holidays: 11 company-recognized holidays
Parental leave
Educational reimbursement opportunities to support company objectives, continued learning, and career development
Lunar Outpost Inc. is an equal opportunity employer. Lunar Outpost Inc. does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, ethnicity, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. All employees, including executives and human resources personnel, are expected to conduct themselves with professionalism and treat others with dignity and respect in accordance with this policy.
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Take the #NextLeap with Lunar Outpost and work on the Pegasus LTV, which will carry NASA astronauts farther than they've ever been before on the lunar surface!
Working Conditions / Schedule This position is required to be onsite Monday, Tuesday, Thursday, and Friday from 9:00 a.m. to 5:00 p.m. Where applicable, employees may work remotely on Wednesdays from 9:00 a.m. to 5:00 p.m. Additional hours may be required based on business needs.
Key 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 intuitive 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
Required Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Robotics, or 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
Comfortable working in an agile and interdisciplinary environment where requirements and technical approaches may evolve rapidly
U.S. Person
Preferred Qualifications
Experience developing AI applications for Mission Operations, spacecraft operations, robotics operation s, 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
Compensation & Benefits Compensation level and base salary are competitively structured and thoughtfully determined based on factors such as relevant skills, experience, education, and the scope of the role.
Comprehensive health coverage: Medical, dental, and vision benefits, with 70% of premiums covered by the employer
Paid time off: Three (3) weeks per year of vacation
Retirement plan: Up to 4% employer match on 401(k) contributions
Paid holidays: 11 company-recognized holidays
Parental leave
Educational reimbursement opportunities to support company objectives, continued learning, and career development
Lunar Outpost Inc. is an equal opportunity employer. Lunar Outpost Inc. does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, ethnicity, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. All employees, including executives and human resources personnel, are expected to conduct themselves with professionalism and treat others with dignity and respect in accordance with this policy.
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