AI Full-Stack Engineer

We are looking for an AI Full-Stack Engineer to build and deliver end-to-end software products that integrate modern AI capabilities into real operational workflows. This role spans frontend, backend, and AI application development, with a strong emphasis on using agentic coding tools to accelerate delivery and improve engineering throughput.

You will work on production-grade applications that combine intuitive user experiences with AI-powered automation, decision support, and knowledge workflows.

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.

• Design, build, and ship full-stack applications from user interface to backend services
• Develop AI-enabled features using LLMs, retrieval-augmented generation (RAG), tool-use agents, and orchestration frameworks
• Integrate AI capabilities into existing enterprise platforms, workflows, and data systems
• Build secure, scalable APIs and services to support AI-powered applications
• Collaborate with product, platform, and security teams to deliver compliant, mission-ready solutions
• Use agentic coding workflows (e.g., Anthropic Claude Code, Google Gemini Code Assist, OpenAI Codex, xAI Grok Code Fast, etc.) to accelerate implementation, testing, and iteration
• Contribute to engineering standards for AI quality, evaluation, observability, and responsible deployment, What Success Looks Like
• Shipping production-ready AI-enabled features quickly and safely
• Building software that is usable, maintainable, and operationally scalable
• Leveraging agentic development workflows to increase delivery velocity
• Partnering effectively across product, engineering, and compliance teams
• Helping establish best practices for AI-native software delivery

Why This Role Matters

• Strong experience building and delivering modern full-stack applications
• Proficiency with backend development (Node.js, Python, Java, or similar) and API design
• Frontend experience with React, Next.js, or comparable frameworks
• Practical experience integrating AI/LLM capabilities into software products
• Familiarity with RAG pipelines, vector databases, prompt engineering, and agent toolchains
• Experience working in cloud environments (AWS, Azure, or GCP) with containerized deployments
• Strong engineering fundamentals: testing, version control, CI/CD, and operational reliability, * Experience deploying AI systems in regulated or enterprise environments
• Familiarity with model evaluation, guardrails, and AI assurance practices
• Exposure to DevSecOps, compliance automation, or secure platform engineering
• Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or custom agent runtimes
• Knowledge of FedRAMP, NIST, or other compliance-driven delivery constraints

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