AI Engineering Lead

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

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