GenAI Full Stack Software Engineering Roles (Secret Clearance or Higher)

LaunchCode is on a mission to create more equitable pathways to upward mobility through free, high-quality tech education and career placement. We have partnered with some of our corporate clients and have the following Direct Hire, cleared positions available:

Senior Technical Consultant – Public Sector (Top Secret Clearance or above)

Technical Consultant – Top Secret

Field Engineer – Post-Sales Solutions (AI Deployment) – TS/SCI

Full-Stack Engineer – Mission-Driven Systems – able to obtain secret clearance

Sr. Full Stack Engineer - Sign-On Bonus (TS/SCI)

Agentic AI Software Engineer – able to obtain secret clearance

Full Stack Engineer (LLM/NGA) - Top Secret/SCI

Software Engineer – Secure Systems Development (TS/SCI)

Location: Washington, D.C.; Arlington/McLean/Chantilly, VA; St. Louis, MO; Denver, CO; Colorado Springs, CO (on-site, no remote)

Clearance Required: Active Secret or higher (TS/SCI with polygraph preferred)

Employment Type: Full-Time, Direct Hire (W2)

Compensation Range: $62,000 – $225,000 (commensurate with experience and clearance level).

You will work across the full lifecycle—from production-grade software development to deploying and supporting complex systems in the field—while directly impacting national security, advanced AI initiatives, and cutting-edge technology adoption.

These roles blend technical depth, problem-solving, and client engagement, offering engineers the rare opportunity to influence both code and mission outcomes.

Key Responsibilities • Design, develop, and deploy production-grade software solutions using Python, Java, Rust, Go, Scala, or JavaScript. • Build and maintain secure APIs, microservices, and front-end applications using React.js, Angular, TypeScript, and modern frameworks. • Architect and implement scalable systems integrating LLMs, multi-modal models, and agentic AI frameworks (LangChain, LangGraph, LlamaIndex, CrewAI). • Develop data-driven solutions, including RAG systems, vector database integrations (Pinecone, Weaviate, ChromaDB), and AI-native pipelines. • Support end-to-end software deployments in containerized environments (Docker, Podman, Kubernetes, OpenShift) and cloud platforms (AWS, Azure, Google Cloud, AWS GovCloud). • Apply DevSecOps practices, CI/CD pipelines, version control, and infrastructure-as-code principles to ensure robust, scalable software. • Collaborate with cross-functional teams—mission engineers, data scientists, ML engineers, analysts, and product owners—to deliver innovative solutions. • Serve in field-facing or post-sales deployment roles, translating complex technical solutions into actionable outcomes for clients. • Mentor junior engineers, share best practices, and contribute to technical community knowledge. • Continuously evaluate emerging AI/ML techniques, secure software methods, and system architectures to drive innovation.

Required Skills & Qualifications • Active TS/SCI security clearance (required). Polygraph preferred. • 4–5+ years of professional software engineering experience, including production-grade applications, APIs, and secure systems. • Experience with one or more programming languages: Python, Java, Rust, Go, Scala, JavaScript/TypeScript. • Hands-on experience with AI/ML integration, LLMs, multi-modal models, or agentic AI frameworks. • Knowledge of containerization, cloud deployment, and CI/CD pipelines (Docker, Kubernetes, OpenShift, GitLab CI, Jenkins). • Strong foundation in secure coding, federal cybersecurity standards, and software compliance practices. • Ability to troubleshoot, optimize, and maintain software under dynamic, real-time operational conditions. • Excellent communication and interpersonal skills for collaboration with technical and non-technical stakeholders. • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience. • Preferred Qualifications • Master’s degree in Computer Science, AI, ML, or related field. • Experience with production-level AI deployments, agentic AI products, or field-based software delivery. • Exposure to RAG systems, vector databases, or LLM integration with operational systems. • Knowledge of DevSecOps tooling, infrastructure-as-code, or cloud automation frameworks. • Prior experience with government, defense, or intelligence clients. • Demonstrated ability to mentor junior engineers and contribute to team growth. • Experience with secure geospatial intelligence systems, real-time operational applications, or multi-modal AI workflows.

What’s In It For YOU • Work at the intersection of AI, secure software, and mission-critical systems with national impact. • Gain hands-on experience deploying agentic AI, modern cloud architectures, and high-security software. • Collaborate across multidisciplinary teams, including engineers, scientists, analysts, and product leads. • Engage in field deployments and client-facing technical engagements that directly influence mission success. • Enjoy a supportive environment with opportunities for career growth, continuous learning, and innovation.

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