Full-Stack Engineer – Agentic AI / AWS (Active TS/SCI Clearance)

SBS • Chantilly, VA

1d • Hybrid

About The Position

Strategic Business Systems (SBS) is expanding its AWS Professional Services team to support a high-priority, mission-critical national security program. We’re looking for a strong Full-Stack Engineer to help build the human-facing side of an advanced agentic AI platform operating in a secure AWS environment. This is much more than traditional web development. You’ll own the end-to-end user experience for live AI agent execution, from the React/Next.js interface through the APIs and streaming event pipelines that support it. You’ll work on challenges such as real-time agent activity, durable chat state, notifications, tool-call visualization, artifacts, lineage, and trace exploration. The environment is highly distributed and stateful, so solving problems around latency, event ordering, reconnection, partial state, and optimistic updates is a major part of the role. The AI scientists own the underlying models and evaluations. Your job is to build the production engineering layer that makes those AI capabilities usable, observable, reliable, and secure. If you enjoy full-stack engineering, real-time systems, and working directly with emerging AI technologies in a mission environment, this is a strong fit.

Requirements

• 3+ years of professional software development experience
• Strong experience with TypeScript
• Experience building production applications using React and/or Next.js
• Experience developing backend services and APIs using FastAPI, Node, or similar technologies
• Ability to troubleshoot issues across the entire application stack
• Experience building real-time or streaming interfaces
• Experience with Server-Sent Events (SSE), WebSockets, or equivalent technologies
• Understanding of reconnection, event ordering, and partial-state challenges
• Experience with client/server state management and optimistic-update patterns
• Experience or exposure to AI/agentic applications
• Familiarity with long-running AI workflows and token-by-token streaming
• Experience or interest in building interfaces for tool calls, agent runs, traces, and artifacts
• Comfortable working with systems utilizing LLMs, AWS Bedrock, MCP tools, and agent-based architectures
• Experience with automated unit and end-to-end testing using technologies such as Jest and Playwright
• Experience diagnosing defects using logs, telemetry, and traces
• Familiarity with OpenTelemetry or other distributed tracing platforms
• Strong engineering mindset around testing, verification, and evidence-based troubleshooting
• Active TS/SCI clearance (CI Poly preferred but not required)
• Active Security+ or equivalent certification
• Comfortable developing applications in secure, regulated, and classified environments

Nice To Haves

• Bachelor’s degree in Computer Science or equivalent practical experience
• Experience building interfaces for AI, agentic, or other streaming distributed systems
• Experience using AI coding assistants as part of a professional development workflow

Responsibilities

• Design and build production applications using TypeScript, React, and Next.js
• Own the full vertical stack from React components through APIs and backend services
• Build real-time interfaces using Server-Sent Events (SSE), WebSockets, and streaming architectures
• Develop user experiences for live agent execution and AI-driven workflows
• Build and maintain durable chat state and notification architectures
• Develop interfaces for tool calls, artifacts, lineage, and agent execution traces
• Handle complex application behaviors including event ordering, reconnection, partial state, and optimistic updates
• Build and operate backend services and APIs using technologies such as FastAPI and Node
• Diagnose issues across the full application stack using logs, traces, and telemetry
• Build automated unit and end-to-end testing into the development process
• Work with distributed tracing technologies such as OpenTelemetry
• Use AI coding assistants as part of the daily development workflow while validating generated code through testing and engineering review
• Collaborate with AWS engineers, AI specialists, and customer stakeholders in a secure mission environment

Benefits

• Comprehensive medical, dental, and vision coverage; HSA-eligible plan options available
• 401(k) retirement plan with company match (vesting schedule per Plan Document)
• Paid Time Off, federal holidays, and floating holiday for personal observance
• Annual professional development support for AWS certifications, training, and conferences
• Employee referral program where applicable and documented by program policy
• Life, AD&D, and short- / long-term disability insurance
• Telework and flexible-schedule support where mission and contract permit

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree