Senior Full Stack/AI Engineer focused on delivering full-stack JavaScript solutions. Working with React, Next.js, AI applications, and cloud infrastructure to close the digital skills gap.
Responsibilities
Deliver full-stack JavaScript/TypeScript solutions with a focus on React and Next.js.
Build production-ready systems that prioritize performance, accessibility, and security.
Provide technical leadership and influence architectural decisions in a team setting.
Work with cloud infrastructure (e.g., AWS) and CI/CD pipelines.
Apply AI in delivery contexts and guide clients on AI opportunities.
Collaborate with stakeholders to define requirements and deliver solutions efficiently.
Engage in consulting work with a focus on client satisfaction and technical excellence.
Requirements
Deep hands‑on experience delivering full‑stack JavaScript/TypeScript solutions, with strong proficiency in React, Next.js, Node.js, and the broader JavaScript ecosystem.
Proven ability to build high‑quality, production‑ready systems, with strong fundamentals in performance, accessibility, security, and maintainability.
Demonstrates technical leadership within a squad, shaping implementation approaches, influencing architectural decisions, and role‑modelling engineering excellence through hands‑on contribution.
Strong understanding of cloud infrastructure (AWS preferable) and CI/CD pipelines, including how applications are built, deployed, monitored, and operated in production.
Brings a DevOps mindset, ensuring smooth delivery workflows, observability, and operational readiness.
Able to take ownership of complex technical problems, make pragmatic trade‑offs, and clearly articulate decisions to both technical and non‑technical stakeholders.
Comfortable working across the stack, even if frontend‑leaning, with the ability to contribute meaningfully to backend services when needed.
Practical experience applying AI in real delivery contexts—e.g., integrating AI APIs/services, building AI‑augmented user experiences, or using AI‑assisted development tools responsibly.
Understands where AI provides genuine value versus where traditional engineering approaches are more appropriate.
Able to evaluate risk, cost, maintainability, and user impact when proposing AI‑driven solutions.
Curious about emerging AI patterns, frameworks, and tooling, with the ability to apply them pragmatically rather than experimentally.
Comfortable guiding clients on realistic AI opportunities, helping them navigate hype vs. practical value.
Experience working in consulting or client‑facing environments, operating confidently in ambiguous problem spaces.
Able to engage with stakeholders to shape requirements, clarify constraints, and contribute to solution discovery—not just implementation.
Strong communication skills, capable of translating technical concepts into clear, outcome‑focused language for clients and business stakeholders.
Brings a collaborative, delivery‑focused mindset, balancing technical quality with client priorities and timelines.
Nice To Have (but valuable) Experience with design systems, component libraries, or frontend architecture at scale.
Exposure to serverless, edge runtimes, or modern deployment patterns (e.g., Vercel, CloudFront, Lambda@Edge).
Benefits
25 days holiday allowance + bank holidays
2 days per year for volunteering
Share scheme
A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
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