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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