4522 AI/ML Full Stack Engineer

OVERVIEW:

We are seeking a Senior AI Full-Stack Engineer who will be a key contributor on a team solving complex, high-impact problems for government and federal customers. You are hands-on, move fast, and bring both depth and breadth - equally comfortable architecting a multi-agent AI pipeline and building the UI that puts it in front of end users. You have strong opinions about software design, know when to make trade-offs, and naturally elevate the engineers around you.

GENERAL DUTIES:

• Design and build end-to-end AI-powered solutions - from backend agent orchestration to polished, production-ready frontends
• Develop GenAI solutions leveraging LLMs, autonomous agents, and RAG to power critical federal workflows
• Rapidly prototype and deliver proof-of-concepts and MVPs that evolve into production systems
• Build cloud-native, AI-native applications addressing some of the most complex challenges in the Federal space
• Create responsive, accessible web interfaces and dashboards that surface AI capabilities to non-technical end users

AI & GenAI:

• Deep expertise with LLMs, agentic frameworks, vector databases, semantic search, and RAG pipelines.
• Solid understanding of GenAI concepts including tool invocation, guardrails, memory, and multi-agent orchestration.
• Strong, daily hands-on experience with AI coding agents such as Claude Code, OpenAI Codex/ChatGPT, Cursor, or equivalent - using them not just as autocomplete but as active development collaborators to accelerate prototyping and production delivery.

Full-Stack Engineering:

• Strong frontend skills: component-driven development using React, Next.js, or Angular; proficiency in TypeScript/JavaScript.
• Ability to build clean, intuitive UIs that make complex AI outputs accessible and actionable.
• Solid backend experience: Python for AI/data workloads; Node.js, Java, or Go for services and APIs.
• Familiarity with relational and non-relational databases: PostgreSQL, MySQL, MongoDB, DynamoDB.

Cloud & Infrastructure:

• Advanced experience designing and deploying cloud-native architectures on AWS, Azure, or GCP.

REQUIRED QUALIFICATIONS:

• 3 years of professional software development experience
• Hands-on experience with at least one major agentic AI framework (e.g.: LangGraph, CrewAI, Google ADK, or similar)
• Experience with AI coding agents (e.g.: Claude Code, OpenAI Codex, Cursor, or similar) as a core part of your development workflow
• Demonstrated experience building frontend applications (e.g.: React preferred, or Next.js, or Angular)

DESIRED QUALIFICATIONS:

• Experience with rapid prototyping (taking ideas from concept to production-ready in days)

CLEARANCE:

• Active TS/SCI clearance minimum required