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
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
Preferred Qualifications
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
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
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.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
- Job Locations
- US-VA-Tysons
