GroupA
Artificial Intelligence Engineer
Skills
19 days ago
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Important information
Contract type:
Freelance / Contract
Salary:
$145,600 – $153,920 / year
Location:
United States
Work mode:
Onsite
Published on:
1 October 2026
What they need
- Job Type –Contract to Hire
- Location – Hybrid in Dallas, TX, Miramar, FL, Minneapolis, MN, Seattle, WA or Atlanta, GA
- Requirements - GC holder or USC required
We are recruiting for a Full Stack Engineer - AI Developer (ADX) to j oin our client company’s Digital Foundations team, to pioneer new solutions and build shared tooling that enables product teams across Digital. The AI Developer Experience (ADX) team within Digital Foundations is the tip of the spear for engineering innovation, building secure, enterprise-scale agentic capabilities and developer productivity solutions .
We are seeking a Full Stack Engineer to build AI-powered developer platforms, agentic systems, and reusable tooling that improve software delivery across Digital Engineering. This is a hands-on, greenfield role for an engineer with strong software engineering fundamentals and proven experience building agentic systems.
You’ll use Claude Code, AWS Bedrock, and AgentCore as foundations while building new capabilities on top of them.
Responsibilities
- Build and scale agentic systems, AI-powered developer platforms, and shared engineering tools .
- Develop reusable integrations, CLI tooling, and SDLC automation that improve developer productivity.
- Use AWS Bedrock, AgentCore, Claude Code , and similar technologies to solve real engineering workflows.
- Build modern web applications using TypeScript, React, Node.js , and where appropriate MFE, BFF, and Module Federation.
- Develop MCP servers and integrate AI agents with Jira, Confluence, GitHub, internal APIs, and other enterprise systems.
- Own solutions across the SDLC, from architecture and development through deployment, observability, and production support.
- Apply AI security, governance, evaluation, observability, and human-in-the-loop practices to production solutions.
- Help establish secure, scalable enterprise patterns for agentic development and SDLC automation.
- Provide technical thought leadership and collaborate across teams to turn emerging technologies into production-ready capabilities.
- Participate in a scheduled support rotation during 9:00 a.m.–5:00 p.m. Eastern Time . Support is not on-call and is handled through internal support channels.
Requirements
- 4–6+ years of software engineering experience preferred , with flexibility for candidates demonstrating exceptional technical depth.
- Proven hands-on experience building agentic systems ; general LLM experimentation alone is not sufficient.
- Strong experience with AWS, AWS Bedrock, AgentCore, Claude Code, Node.js, TypeScript, and Python .
- Experience with CrewAI, LangGraph, or similar agentic frameworks is a plus.
- Experience building MCP servers , developer tooling, CLI applications, or SDLC automation.
- Experience integrating AI agents with enterprise systems and APIs.
- Experience with modern web development; React, MFE, BFF, and Module Federation experience is a plus.
- Knowledge of AI security, governance, prompt engineering, evaluation, observability, and production operations .
- Strong architecture, system design, and cloud-native development skills.
- Understanding of OWASP and security practices for AI-enabled applications and tools .
- Ability to explain technical tradeoffs and design decisions and translate AI capabilities into practical developer workflows.
- Strong ownership, curiosity, collaboration, and critical-thinking skills , with an interest in pioneering greenfield solutions.
What Strong Experience Looks Like
- You have built agentic solutions , not simply experimented with LLMs.
- You can explain architectural decisions, tradeoffs, security considerations, and how your solutions operate in production.
- You connect AI capabilities to real developer workflows and measurable improvements in engineering productivity.
- You treat security, governance, reliability, observability, and enterprise integration as core design considerations.
- You enjoy pioneering new solutions, learning emerging technologies, and turning promising ideas into scalable platforms.
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