AI Engineering Lead in Nottingham

AI Engineering Lead in Nottingham

Nottingham Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Ideagen

At a Glance

  • Tasks: Lead a team to develop innovative AI-driven solutions for user-focused experiences.
  • Company: Join Ideagen, a leader in intelligent workspace technology.
  • Benefits: Competitive salary, professional development, and a collaborative work environment.
  • Other info: Dynamic role with opportunities for growth in a cutting-edge tech environment.
  • Why this job: Shape the future of AI while making a real impact in regulated industries.
  • Qualifications: Proven experience in leading engineering teams and delivering AI systems.

The predicted salary is between 80000 - 100000 £ per year.

Salary – To be discussed at next stage

Mazlan is Ideagen’s intelligent workspace – a unified AI layer that enhances how professionals in regulated industries operate day to day.

Role Purpose

AI Engineering Lead – you will shape this experience, leading development of agent-driven capabilities, ensuring reliable, clear, user-focused delivery.

Location: Ruddington, Nottinghamshire

Level: Team Leader/Professional

Department: Product R&D

Responsibilities

  • Leading a multidisciplinary team of AI Engineers and AI Experience Engineers, supporting both technical delivery and professional development
  • Setting the technical direction for the AI Agentic Experience, including architecture, tooling, and quality standards across agent and frontend layers
  • Overseeing the design and implementation of agentic systems, including intent handling, orchestration, and multi-step workflow management
  • Ensuring seamless integration between backend agent logic and frontend user interactions for a consistent, intuitive experience
  • Defining how systems handle uncertainty and failure, including confidence thresholds, escalation paths, and graceful degradation
  • Driving engineering quality through testing strategies, performance optimisation, and reliable deployment practices
  • Collaborating with product and design teams to align engineering decisions with user needs and practical use cases
  • Communicating progress, risks, and trade-offs clearly to stakeholders across technical and non-technical teams

Skills and Experience

  • Experience leading engineering teams delivering production AI systems or complex user-facing applications
  • Strong understanding of agentic systems, including context management, session lifecycle, and multi-turn interactions
  • Hands‑on experience with LLMs and agent frameworks, familiarity with tools such as LangGraph or similar approaches
  • Confidence working across both backend and frontend domains, with working knowledge of technologies such as React and TypeScript
  • Ability to make informed architectural decisions that balance innovation, reliability, and user trust
  • A user‑focused mindset, with the ability to translate complex requirements into clear and practical engineering solutions
  • Strong communication skills, with experience collaborating across engineering, product, and design functions
  • Awareness of quality, compliance, or regulated environments where clarity and accuracy are critical

AI Engineering Lead in Nottingham employer: Ideagen

Ideagen is an exceptional employer, offering a dynamic work environment in Ruddington, Nottinghamshire, where innovation meets collaboration. As an AI Engineering Lead, you will not only lead a talented team but also have access to professional development opportunities and a culture that prioritises user-focused solutions. With a commitment to engineering quality and seamless integration of cutting-edge technologies, Ideagen empowers its employees to thrive in their careers while making a meaningful impact in regulated industries.

Ideagen

Contact Details:

Ideagen Recruitment Team

We think you need these skills to ace AI Engineering Lead in Nottingham

Leadership
AI Systems Development
Agentic Systems Understanding
Context Management
Session Lifecycle Management
Multi-turn Interactions
Hands-on Experience with LLMs