• Contribute to the technical direction of the Perception Architecture team and the broader perception organization. • Design and develop core machine learning components and architectures that enable the perception system to scale and reliably address complex, long-tail driving scenarios. • Drive the initial implementation and prototyping of key architectural decisions, such as handling long tail challenges or long range detection. • Contribute to the improvement of model frameworks, architecture, and data pipelines to eliminate development bottlenecks and accelerate model iteration. • Lead challenging technical topics and build consensus across sister teams (e.g., dynamic world, static world) and stakeholders to ensure autonomy-wide alignment.

Overview We’re looking for a full stack developer to help build and extend LIGER, an enterprise AI platform that connects knowledge, systems, and agentic workflows to accelerate outcomes across federal missions. You’ll join a small, cross-functional team shipping a ground-up product redesign – and increasingly, building the agentic capabilities that make LIGER genuinely powerful. This isn’t a maintain-the-backlog role. You’ll work across the stack, own features end-to-end, and help shape how AI agents are integrated into workflows that real users depend on. If you’re excited about building systems where models do real work – not just generate text – keep reading. About This Team LIGER sits within LMI’s Chief Technology Office. We’re a small, high-visibility team building AI tools for federal agencies. The culture is more startup than traditional government contractor – we move fast, solve problems in design spikes rather than scheduled reviews, and care more about outcomes than process. That said, we’re building for users who need reliability and trust, so craft and attention to detail matter. You’ll work daily with our designer, engineering lead, and product team. The agentic layer of LIGER is still being shaped – this is a real opportunity to define how it gets built. To learn more about LIGER, visit: https://www.lmisolutions.com/platforms/liger This is a 100% remote role with quarterly travel for in person team planning and collaboration events. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities What You'll Do - Build and ship full stack features across frontend (Angular, Typescript), backend (Node/Python), and the integration layer between them - Design and implement agentic workflows: tool-calling, multi-step reasoning pipelines, and the infrastructure that makes them reliable - Use AI coding tools as a daily part of your development workflow - Integrate and maintain connections to external services, data sources, and APIs as part of agent execution flows - Collaborate directly with our designer and engineering lead in working sessions – you’ll shape UX decisions, not just implement them - Contribute to backend architecture decisions around agent orchestration, state management, and LLM interaction patterns - Ship incrementally and stay close to users – we care about getting things in front of people, not perfecting in isolation Qualifications What We're Looking For - 3+ years of full stack development experience, or fewer years with demonstrable depth in agentic or LLM-native development – comfortable owning both frontend and backend - Experience using PostgreSQL to store, retrieve, and manage structured application data, with experience in database design, SQL development, and operational support - Proficiency in Angular and TypeScript on the frontend - Solid backend experience in Node.js and/or Python - Hands-on experience building with LLMs (prompt engineering, API integration, tool use, and managing model outputs in production) - Active use of AI-assisted development tools in your day-to-day coding workflow - Experience designing and developing RESTful APIs and backend services that support scalable, maintainable integration across distributed application components - Familiarity with agentic patterns: orchestration, tool-calling, retrieval-augmented generation (RAG), or multi-step agent flows - Ability to move fast and iterate without heavy specs or detailed tickets What Will Set You Apart - A portfolio of side projects, personal websites, open-source contributions, or other evidence of a builder’s disposition – we care more about what you’ve built than where you’ve worked - Demonstrated fluency with AI coding tools and a workflow that treats them as force multipliers, not novelties - Experience with Model Context Protocol (MCP) – building servers, defining tools, or integrating MCP into an agent stack - Experience building scalable document processing pipelines supporting text extraction, chunking, metadata enrichment, indexing, and persistence for downstream semantic retrieval use cases. - Background working on AI-native products or internal tooling where models are core to the user experience, not bolted on - Familiarity with frameworks like LangChain, LlamaIndex, or similar orchestration tools - Experience developing software in environments governed by federal security and compliance requirements, with attention to secure coding practices, access control, auditability, and deployment constraints Target salary range: $100,000 - 175,000 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. #LI-SH1

• Write high-quality, well-tested, maintainable code • Design, build, and maintain backend APIs and frontend components for end-user facing features • Collaborate with internal product managers and customers to align product development with real-world needs

• Design and build model-driven apps with simplified, intuitive forms, views, and business process flows. • Configure Dataverse tables, columns, relationships, command bars, BPFs, and solution layers. • Develop server-side extensions including plugins and custom APIs using C#/.NET. • Build custom UX components using TypeScript/React for PCF controls. • Implement enhancements such as knowledge article improvements, attachment indicators, and specialized data-entry controls. • Create and maintain Power Automate cloud flows, including event-driven automation, notifications, error handling, and reliability improvements. • Support Power Pages configuration, upgrades, and customizations. • Implement SharePoint document integration for CRM entities. • Design secure patterns for managing files and structured data across platforms. • Manage Solution deployments and packaging across DEV → PPE → UAT → PROD. • Maintain CI/CD pipelines in Azure DevOps, perform code reviews, manage branches, and ensure proper build hygiene. • Align development work with secure development lifecycle (SDL) requirements. • Participate in threat modeling, service attestations, and compliance checks. • Troubleshoot build issues (tokens, keys, code quality tools) and ensure production readiness. • Diagnose failures in Power Automate, pipelines, or environment policies. • Resolve environmental instability, support deployments, and ensure operational reliability.