Full Stack AI Engineer

Quick Facts

• Role: Full Stack AI Engineer

• Focus: Building AI-enabled applications for robotic systems, command-and-control, and Mission Operations

Description

Build intelligent, operational AI tools end-to-end—from AI models and agentic systems to APIs, backend services, web interfaces, cloud infrastructure, and integrations. Work with capabilities such as AI agents, retrieval-augmented generation, multimodal models, natural-language command and control, mission planning, telemetry analysis, anomaly investigation, and decision support. Collaborate with robotics, autonomy, simulation, and Mission Operations teams to deliver reliable tools.

Responsibilities

• Design, develop, deploy, and maintain full-stack AI applications for robotic systems, command and control, and Mission Operations

• Develop agentic AI systems for reasoning, tool use, information retrieval, workflow execution, and external software/service interaction

• Build AI tools for natural-language command/control, mission planning, telemetry analysis, anomaly investigation, mission summarization, and operator decision support

• Create backend services, APIs, data pipelines, and application interfaces connecting AI with operational data and robotic platforms

• Build web interfaces that let operators interact with AI agents, robotic systems, telemetry, and mission data

• Integrate large language models, vision-language models, and multimodal models into production applications

• Enable safe agent interaction with command-and-control systems, databases, simulation environments, autonomy frameworks, and operational services

• Implement retrieval, context management, memory, tool registries, structured outputs, and agent orchestration

• Evaluate AI systems for accuracy, reliability, latency, robustness, and operational usefulness (automated and scenario-based)

• Participate in design reviews, trade studies, technical risk assessments, test-readiness reviews, and demos

Requirements

• Bachelor’s degree in a relevant technical field (Computer Science, Software Engineering, ML, AI, Robotics, or similar)

• 1–3 years of experience developing software, AI applications, autonomous systems, or intelligent robotic applications

• Python software engineering experience

• Experience with modern web development languages/frameworks (e.g., TypeScript, JavaScript, HTML/CSS, React)

• Experience building AI applications using large language models and/or multimodal models via APIs/hosted services/local deployment

• Experience with agentic AI capabilities (tool calling, structured outputs, retrieval, orchestration, planning, multi-step reasoning)

• Experience building backend services, data pipelines, and integrations with external systems

• Cloud deployment experience including containers, CI/CD, and infrastructure-as-code

• Ability to design AI tools/interfaces for agent interaction with software systems and external services/data sources

• Ability to communicate technical concepts, system behavior, limitations, and risks to multidisciplinary teams

• Comfort in an agile, interdisciplinary environment

• U.S. Person

Benefits

• Health coverage (medical/dental/vision) with 70% premium coverage by the employer

• Paid time off: 3 weeks per year

• Retirement: up to 4% employer match on 401(k)

• Paid holidays: 11 company-recognized holidays

• Parental leave

• Educational reimbursement for continued learning and career development