Senior AI Full Stack Engineer

natgridProd • Waltham, MA

2d • $129,000 - $161,000 • Hybrid

About The Position

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 policJob 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.

Requirements

• 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.

Nice To Haves

• Payload CMS experience is a significant advantage because it is used extensively across the platform.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• National Grid will not be providing visa sponsorship for this position now or in the future. You must have the ability to work without a need for current or future visa sponsorship.
• This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed