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AI Full-Stack Engineer

LMI Consulting, LLC

McLean · On-site Full-time Yesterday
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About the role

It looks like you’ve posted the full description for the AI Full‑Stack Engineer role at LMI. How can I help you with it? Here are a few things I can do:

What you might need How I can help
Tailored résumé Turn the key responsibilities and qualifications into concise, achievement‑focused bullet points that match the job posting.
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Interview prep Provide a list of likely interview questions (technical, behavioral, and security‑clearance related) plus strong answer outlines.
Application checklist Summarize the required documents, security‑clearance eligibility, and any “redact‑age” steps for Colorado residents.
Job‑fit analysis Compare your current skill set to the required & preferred qualifications and suggest any quick up‑skill actions (e.g., a short LangChain tutorial, a demo RAG pipeline).
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Just let me know which of the above (or anything else) you’d like assistance with, and I’ll get started right away!

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

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

Skills

AWSAzureCI/CDDockerGCPJavaLangChainLlamaIndexNode.jsNext.jsOpenAI CodexPythonRAGReactSemantic Kernel

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