Our client is looking for an experienced AI Development Lead to design, build, and deliver high-quality agentic AI systems while leading technical execution and engineering excellence across the team.

Requirements

• 5+ years of experience leading engineering teams or complex AI/ML implementation tracks


• Strong mastery of Python for AI pipelines, APIs, and production services


• Hands-on experience building agentic systems, RAG pipelines, embeddings, vector stores, and retrieval optimization


• Experience integrating LLMs into production systems (e.g., Azure OpenAI, Bedrock, Claude)


• Experience with prompt design, agent behaviors, evaluation frameworks, and AI safety/guardrails


• Strong understanding of cloud architectures (AWS, Azure, or GCP)


• Experience with microservices, API integrations, event-driven systems, and data pipelines


• Strong knowledge of CI/CD pipelines, Git workflows, observability, and telemetry


• Ability to diagnose performance, reliability, and cost issues across AI systems


• Proven technical leadership: code reviews, standards enforcement, mentoring engineers


• Comfortable operating in ambiguous environments and making fast, high-impact decisions


• High ownership mindset with strong focus on quality, reliability, and clarity

Role & Responsibilities

• Translate solution architectures into actionable engineering plans and delivery sequencing


• Lead development of AI features including agentic workflows, RAG systems, pipelines, evaluations, and integrations


• Architect and build multi-agent systems, tool calls, validation agents, and retrieval workflows


• Own implementation quality across all services, codebases, and data flows delivered by the team


• Enforce engineering standards, best practices, and architecture-aligned patterns


• Perform code reviews, pair programming, debugging, and design reviews


• Ensure systems meet non-functional requirements for performance, reliability, cost, security, and auditability


• Diagnose and resolve complex technical issues across AI agents, data pipelines, APIs, and integrations


• Own runtime performance, latency, throughput, cost envelopes, and system stability


• Ensure proper logging, metrics, tracing, evaluation signals, and drift detection are in place


• Support CI/CD, environment alignment, deployment readiness, and incremental releases


• Mentor and guide engineers, fostering clean code, strong ownership, and technical excellence


• Partner closely with architecture, product, QA, and operations to ensure reliable, on-time delivery

For more information - please apply for this job or send your CV directly and we will contact you to provide further details.

Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience.

All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.