• Develop and maintain the backend services of our EV platform, ensuring that all components work together seamlessly. • Integrate with third-party APIs to implement external services into our platform, enhancing OEM partners and other external solutions. • Manage ingestion and storage of multivariate data sets that can scale to millions of users/connected vehicles. • Build and enhance data lakes to provide additional data analysis for different services and consumers. • Develop services to interact with connected vehicles at scale. • Develop and maintain front end “web apps” to provide UIs for our various different products and services. • Ensure proper security and data protection policies, procedures, and monitoring are in place. • Design, develop, and maintain third-party accessible APIs for data ingest/egress within the platform. • Write and maintain technical documentation. • Drive and embody the “Dev Owns Quality” culture. • Other duties as assigned

• Define and execute the long-term architectural strategy for our multi-cloud compute and traffic platforms. • Lead hands-on implementation for critical infrastructure projects, focusing on reliability, system automation and performance at scale. • Multi-year technical roadmaps establishing vision for infrastructure scalability, reliability, security, and engineering velocity. • Maintain a culture of engineering and operational excellence. • Technical leadership and mentorship of engineers through design reviews and code contributions—you define the technical direction and eliminate architectural barriers to execution. • Maintain end-to-end technical stewardship for your systems, ensuring execution aligns with architectural vision and best practices. • Act as a key technical advisor to Engineering Leadership and Product Management, influencing the strategic direction of Temporal Cloud infrastructure. • Cross-team collaboration to align architectural roadmaps and drive adoption of best practices. • Participation and leadership in design reviews for projects across Infrastructure (Developer Productivity) with a focus on automation, infrastructure, scalability, and reliability. • Partnering with Security to build ‘secure by default’ systems. • Engaging with key customers to help understand their deep technical requirements and enable their business with platform capabilities. • The reliability of systems under your technical ownership. • Ensuring team members have clarity on the technical vision, priorities, and the tools and processes needed to meet shipping deadlines. • Design principles for building reliable, secure, and scalable systems. • Grow others via technical mentorship, architectural guidance, and driving the engineering excellence bar. • Ways to best leverage Temporal’s own software to power infrastructure at scale. • Customer needs that drive infrastructure design and architectural decisions.

• 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