Software Engineer (Web) - Future Contract Opportunities

Method, a GlobalLogic company•Atlanta, GA

2d•$79 - $120•Hybrid

About The Position

This is a proactive posting to help us build our network of talented contractors for anticipated project needs later this year. While we don’t have an active project for this role today, we expect opportunities to arise as our client and project needs evolve. By applying, you’ll be considered for future contract and project-based opportunities that align with your skills, experience, and areas of expertise. Our Talent team will review your background and keep your information on hand, and we’ll reach out directly if an upcoming project looks like a strong match. Because these opportunities are project-based, timing, scope, duration, and hours may vary depending on the specific engagement. For this type of work, we typically anticipate hourly rates in the range of $79-$120/hour, depending on the project scope, required expertise, and experience level. Specific project details and the applicable rate will be discussed with you when we connect about a potential opportunity.

Requirements

The range of a full-stack engineer
Client instincts of a consultant
Judgment to apply AI where it genuinely moves the needle
Comfortable operating in the gray
Energized by discovery, ambiguity, and short feedback loops
Able to stand in front of a client one hour, discovering what they actually need, and be shipping a working slice of it the next
Know when to reach for AI to accelerate a solution and, just as importantly, when not to
Human first, a developer second
Willing and able to partake in and lead communication with project stakeholders
Able to explain technical constraints — and the capabilities and limits of AI — to both technical and non-technical audiences
React
Next.js
TypeScript
Modern back-end frameworks
Cloud platforms
LLM integration
Retrieval-augmented generation (RAG)
Agentic workflows
Intelligent automation
AI-assisted development tooling
Infrastructure-as-code
Automated deployment pipelines
Automated tests
AI observability

Nice To Haves

Experience taking an AI feature from prototype to production, including monitoring, evaluation, and iteration once real users are in the loop.
Experience building and managing scaled frontend architectures like microfrontends, monorepos, and shared internal libraries.
Experience managing and evolving CI/CD pipelines and related DevOps tools.
Experience building authentication and protected applications.
Experience utilizing tools to support monitoring, logging, and securing applications — including AI observability.
Experience architecting complex software systems.
Experience fine-tuning, distilling, or otherwise customizing models, and a point of view on when that's warranted versus prompting or retrieval.

Responsibilities

Embed directly with client teams to discover, scope, and deliver full-stack applications, owning problems end to end from ambiguous brief to production.
Design, develop, and deploy scalable web applications across the stack using React, Next.js, TypeScript, and modern back-end frameworks and cloud platforms.
Identify, prototype, and productionize AI-enabled features — including LLM integration, retrieval-augmented generation (RAG), agentic workflows, and intelligent automation — with appropriate evaluation, guardrails, and cost/latency awareness.
Use AI-assisted development tooling to raise your own and the team's delivery velocity without compromising code quality.
Implement infrastructure-as-code and automated deployment pipelines to ensure solutions are reliable, observable, and scalable.
Develop and maintain high-quality automated tests — including evaluation harnesses for AI features — to ensure robustness and reliability.
Perform thorough code reviews, advocate for best practices, and maintain high engineering standards in fast-moving, client-facing environments.
Offer technical leadership and mentorship, lifting the AI and full-stack fluency of the teams and clients you work alongside.
Manage delivery expectations directly with client stakeholders, balancing speed, quality, and scope in real time.
Keep pace with a rapidly evolving AI and web landscape, forming points of view on where new tools and models create real leverage.