Senior AI Full Stack Engineer

National Grid; Warwick; Hybrid; GBP 65,000 - 80,000; Full time

Benefits offered by this job

Flexible benefits

Cycle scheme

Technology schemes

Job summary

National Grid seeks a Senior AI Full Stack Engineer to design, build and operate AI‑enabled internal products. You’ll bridge product strategy and engineering, delivering secure, scalable solutions and an evolving AI layer for data storytelling.

The role focuses on AI product development, agentic systems, evaluation, and observability, collaborating across product, design, data, architecture and security teams in a hybrid Warwick, UK based office.

Qualifications

• Strong experience with TypeScript and React across full‑stack apps.
• Proven track record building AI‑enabled features and interfaces.
• Experience with Next.js, Vercel AI SDK and modern web toolchains.

Responsibilities

• Design and develop full‑stack AI applications using TypeScript and React.
• Build conversational interfaces with streaming responses and robust UX.
• Integrate AI capabilities into existing products and processes.
• Collaborate with product, design, data, and security teams through discovery to production.

Skills

TypeScript

React

LangChain

LangGraph

Vercel AI SDK

Next.js

APIs

Tools

Payload CMS

Job description

About us

At National Grid, we keep people connected and society moving. But it's so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Senior AI Full Stack Engineer and find your superpower.

This is a senior design role for someone who can operate across product design, AI-assisted delivery, strategic discovery and hands‑on product development. The role is not limited to producing design artefacts or handing over designs to engineering. It is expected to work directly with product owners, engineers, data teams and senior stakeholders to turn ambiguous strategic intent into usable, valuable and deliverable product experiences.

An immediate focus for the role is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive‑level data storytelling. The platform includes a proof‑of‑concept Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer that will support analysis and chat against underlying data.

The Senior AI Product Designer will be responsible for the design quality, user experience and interaction model of these AI‑enabled products. They will work across discovery, prototyping, interface design, design‑system alignment, AI interaction design, and - where appropriate - AI‑assisted front‑end implementation. The role is expected to help collapse the gap between design intent and working software, using AI tools to move quickly from concept to tested, usable product experiences.

This role is for someone who can operate with senior autonomy: absorbing ambiguous problems, shaping them into clear product direction, creating high‑quality design outputs, and partnering closely with engineering to make sure what is shipped is not only functional, but genuinely usable and valuable.

This role operates under a hybrid working model and is based out of the Warwick,UK office. Hybrid work expectations are subject to business needs and company policy.

Job Purpose

We are looking for an AI Engineer to help design, build and operate AI-enabled internal products and platforms across National Grid.

This is a hands‑on senior engineering role for someone who can move confidently between modern web application development and applied AI engineering. The role is not focused solely on model development or experimentation. It is responsible for turning AI capabilities into secure, maintainable and production‑ready products that solve real organisational problems.

An immediate focus is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer supporting analysis and conversational access to underlying data.

The AI Engineer will develop this AI layer and the wider product capabilities around it. This includes building chat interfaces, agentic workflows, tool integrations, structured outputs, retrieval and grounding mechanisms, evaluation frameworks, observability, and appropriate human‑in‑the‑loop controls.

The role requires strong experience with TypeScript, React and modern full‑stack web development. Experience with the Vercel AI SDK is particularly valuable, including streaming interfaces, tool calling and agent orchestration. Payload CMS experience is a significant advantage because it is used extensively across the platform.

This role is for someone who can operate with senior autonomy: understanding ambiguous requirements, shaping sound technical approaches, delivering high‑quality software and working closely with product, design, data, architecture and security teams to take AI products from proof of concept into production.

What You'll Do

AI Product Development

• Design and develop full‑stack AI applications using TypeScript, React, and modern web technologies.
• Build conversational interfaces with streaming responses, intuitive user experiences, and robust error handling.
• Develop AI solutions using frameworks such as Vercel AI SDK, LangGraph, LangChain, or similar platforms.
• Translate business requirements into scalable, maintainable technical solutions.
• Create reusable patterns for AI chat, workflow automation, content generation, and analytics.
• Integrate AI capabilities into existing products and business processes.
• Ensure high standards of performance, security, accessibility, maintainability, and code quality.

Agentic Systems & Conversational AI

• Design and implement AI agents capable of multi‑step reasoning, tool selection, and workflow execution.
• Develop integrations with enterprise applications, APIs, and approved data sources.
• Define agent state, memory, context management, validation rules, retry logic, and failure handling.
• Implement human‑in‑the‑loop approval processes for sensitive or high‑impact actions.
• Ensure transparency through source attribution, execution tracking, and auditability.

AI Quality, Evaluation & Observability

• Develop evaluation frameworks, test datasets, and quality metrics for AI features.
• Monitor answer quality, groundedness, tool usage, latency, output accuracy, and operational cost.
• Implement logging, tracing, monitoring, and observability capabilities for AI workflows.
• Continuously improve prompts, models, tools, and workflows through data‑driven feedback.
• Manage prompts, model configurations, and evaluation criteria as version‑controlled assets.

Data & Integration

• Integrate AI capabilities with structured and unstructured enterprise data sources.
• Implement retrieval, grounding, and context‑engineering strategies to improve response quality.
• Build secure integrations with APIs, content management systems, data platforms, and business applications.
• Ensure compliance with data security, authorization, governance, and audit requirements.
• Support source attribution, data lineage, and information freshness controls.

Engineering & Delivery

• Write clean, tested, maintainable code following established engineering standards.
• Participate in architecture reviews, technical design discussions, and code reviews.
• Implement automated testing across applications, integrations, and AI workflows.
• Support continuous delivery while managing technical debt and maintaining enterprise standards.
• Establish best practices for AI‑assisted development tools, including GitHub Copilot, Claude Code, and related platforms.

Collaboration & Leadership

• Partner with Product, Design, Architecture, Security, Data, and Engineering teams.
• Provide technical expertise throughout discovery, design, development, testing, deployment, and adoption.
• Communicate technical recommendations, trade‑offs, and risks to stakeholders.
• Mentor engineers and contribute to AI engineering standards and best practices.
• Help establish scalable frameworks for enterprise AI product delivery.

What You'll Get

• Proven experience as a senior Software Engineer, AI Engineer, Full-Stack Engineer or equivalent, delivering complex digital products.
• Strong professional experience with TypeScript and React.
• Experience building modern full‑stack web applications using frameworks such as Next.js.
• Practical experience building AI-enabled product features, not only isolated model experiments or notebooks.
• Experience with the Vercel AI SDK or comparable AI application frameworks.
• Experience building conversational or chatbot interfaces, including streaming responses and interaction-state management.
• Understanding of agentic systems, tool calling, structured outputs and multi-step AI workflows.
• Experience integrating large language models with application data and external services.
• Ability to design clear boundaries between deterministic code and model-driven behaviour.
• Strong understanding of API design, authentication, authorisation and secure data handling.
• Experience testing and debugging asynchronous, distributed or integration-heavy application behaviour.
• Understanding of AI evaluation, observability, grounding and common failure modes.
• Ability to translate ambiguous product requirements into sound technical designs and working software.
• Strong engineering judgement, including the ability to balance delivery speed with maintainability and operational risk.
• Comfortable working in a fast-moving, cross‑functional team where product, design and engineering decisions are made collaboratively.
• Clear written and verbal communication with both technical and non‑technical audiences.
• High degree of autonomy and ownership from discovery through production support.

What You'll Get

• Competitive Salary: circa £65,000 - £80,000 per annum (dependent on location, capability, and experience).

Additional benefits:

• Flexible benefits such as a cycle scheme, share incentive plan, technology schemes
• Ongoing career development and support to help you cover the cost of professional membership subscriptions, course fees, books, examination fees and time off for study leave - so long as it is relevant to your role
• Access to apps such as digital GP service for round the clock access to GP video consultations and NHS repeat prescriptions, wellbeing app to support your health and fitness
• Access to Work + Family Space, providing support and resources for work and family life, including paid emergency childcare and eldercare

We value diversity and are committed to creating an inclusive workplace for all. We welcome applications from all suitably qualified candidates - we make appointments purely on merit, assessed against objective selection criteria. We support flexible working and will make reasonable adjustments throughout the recruitment process should you have any physical or mental impairment which may affect your ability to participate in the process.

Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.