AI Engineering Lead

Role Purpose

Location: Ruddington, Nottinghamshire

Level: Team Leader/Professional

Department: Product R&D

Benefits: Benefits at Ideagen

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. As AI Engineering Lead, you will play a key role in shaping this experience, leading the development of agent‑driven capabilities and ensuring they are delivered in a way that is reliable, clear, and user‑focused. This position combines technical leadership with hands‑on involvement, requiring close collaboration across engineering, product, and design to create systems that users can trust in high‑stakes environments.

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, with familiarity in 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

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