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# AI Full-Stack Engineer

- **Company:** LMI
- **Location:** Tysons, VA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Continuous Integration, Data Systems, Decision Support Systems, Human-Computer Interaction, Python (Programming Language), Node.Js, Next.js, Software Construction, Toolchain, Cloud Platform System, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Llamaindex, Generative AI, Backend, Agentic-AI, Containerization, Kubernetes, Front End Software Development, Claude, Api Design, Google Gemini, Restful APIs, OpenAI Codex, Semantic Kernel, Software Version Control, Devsecops
- **Published:** October 26, 2026
- **Apply:** https://www.adzuna.com/details/5665422170

## About the Role

* 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

## Description

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