AI Full-Stack Engineer
LMI Consulting, LLC | |||||||||
United States, Virginia, Tysons | |||||||||
7940 Jones Branch Drive (Show on map) | |||||||||
Mar 14, 2026 | |||||||||
|
AI Full-Stack Engineer Job Locations
US-VA-Tysons
Overview 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. 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 Qualifications Required Qualifications
Strong experience building and delivering modern full-stack applications
Preferred Qualifications
What Success Looks Like
Why This Role Matters AI is changing how software is built and operated. This role is for engineers who want to be at the center of that shift - delivering full-stack applications where AI is not an add-on, but a core capability 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. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you!
Click here to get started. | |||||||||
Mar 14, 2026