[Remote] Staff Full Stack AI Engineer

Note: The job is a remote job and is open to candidates in USA. Method is a global design and engineering consultancy that creates practical digital experiences to improve lives and transform businesses. The Staff Full Stack AI Engineer will design, develop, and deploy full-stack AI applications featuring agentic workflows, complex reasoning, and autonomous action. The role provides technical leadership across front-end, back-end, cloud, and AI components while collaborating directly with client teams.

Responsibilities

• Work directly within client teams to discover, scope, and deliver full-stack applications, owning problems end-to-end from an 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

Skills

• Strong, engaging consulting experience and problem-solving skills, with a track record of thriving in ambiguous, client-facing settings
• Track record of ramping quickly on unfamiliar codebases, domains, and client organizations
• 7+ years of experience working on large development projects using React and related tools
• Strong proficiency in programming in TypeScript
• Strong understanding of component lifecycles, hooks, and concurrent features in modern React (18+), including awareness of Server Components and App Router patterns in [Next.js](http://next.js)
• Strong understanding of state management tools such as Redux, Context, and RTK Query, and their different uses and purposes
• Strong experience building robust unit and component tests with tools such as Jest, Vitest, React Testing Library, and Cypress
• 5+ years of experience building and integrating with REST APIs and back-end services using modern languages and frameworks such as Node.js, .NET, Ruby on Rails, or Go
• Get equally excited about scalable UI and scalable API design
• Hands-on experience with a major cloud platform (Azure, AWS, or GCP) and infrastructure-as-code practices
• Experience architecting complex software systems, owning design decisions and documenting the trade-offs behind them
• Experience setting technical direction beyond a single team, influencing standards and engineering practices across teams or engagements
• 2+ years of hands-on experience building with modern AI, delivered into real products or client engagements
• Practical experience integrating large language models via major provider APIs (e.g., Anthropic, OpenAI, or equivalent)
• Familiarity with retrieval-augmented generation (RAG), vector stores, embeddings, and prompt design
• Practical experience with agentic patterns, orchestration frameworks, and tool/function calling, including tool-integration protocols such as MCP
• A working grasp of AI evaluation, guardrails, safety, and the cost-and-latency trade-offs of deploying models in production
• Fluency with AI-assisted development tooling as a force multiplier for delivery
• Client delivery instincts: comfort working deeply integrated with client teams, translating business requirements into technical specifications, and shipping under real-world constraints
• Awareness of how technical decisions affect the scope, timeline, and margin of an engagement
• 3+ years of experience leading an engineering team, mentoring team members, and planning and strategizing work delivery
• Experience working directly with stakeholders to manage delivery expectations
• Work well with others, enjoy collaborating with and mentoring others, and are unafraid to reach out to others for support
• Love learning and growing as much as delivering high-quality products and features
• Travel for team and client meetings is required, typically up to 15%
• 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 including microfrontends, monorepos, and shared internal libraries
• Experience managing and evolving CI/CD pipelines and related DevOps tools
• Experience building authentication and protected applications
• Experience using tools to support monitoring, logging, and application security — including AI observability
• Experience in 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

Benefits

• Continuing education opportunities
• Flexible PTO and work-from-home policies
• 401K matching
• Health, Dental and Vision benefits, starting on day 1
• Company lunches, company outings, along with a lot of snacks
• Health and wellness programs
• Other location specific perks (just ask!)

Company Overview

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