AI Full-Stack Engineer

Logistics Management Institute

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About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed