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Xcede are proud to partner with a global energy and sustainability business operating across 20 countries, with over 6,000 employees and over € 1 billion in revenue. Their products and services are used across 15 million homes and commercial properties worldwide. The business is now scaling its AI engineering function and is looking for a senior leader to shape how the function is built, run, and developed over the long term.
Job Responsibility:
Leading and mentoring a team of 5 AI engineers across multiple product squads
Setting standards for how AI systems are built, evaluated, and deployed
Bridging the gap between business requirements and technical execution
Driving evaluation frameworks, experimentation workflows, and long-term AI roadmap decisions
Supporting hiring and onboarding as the team continues to grow
Staying close to developments in LLMs, agentic systems, and orchestration tooling
Requirements:
5 or more years of experience in data science, machine learning or software engineering, with recent hands-on work in AI engineering and LLM systems
Experience with LLM orchestration frameworks such as LangGraph or LangChain
Strong Python skills and cloud experience across Azure, AWS, or GCP
Experience with model evaluation, monitoring, and building robust ML pipelines
Familiarity with agentic system design, RAG pipelines, and prompt engineering
Some experience leading or mentoring engineers, whether formally or informally