Additionalinformation

Additional Information

• Competitive remuneration
• Working in a dynamic international team
• High degree of responsibility and independence
• Friendly and modern working environment

Companydescription

Company Description

MET Group is an integrated European energy company, headquartered in Switzerland, with activities in natural gas and power, focused on multi-commodity wholesale, trading and sales, as well as energy infrastructure and industrial assets.

MET Group is represented in 21 countries: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Czech Republic, Croatia, France, Germany, Hungary, Italy, Poland, Romania, Serbia, Singapore, Slovakia, Spain, Switzerland, The Netherlands, Turkey and Ukraine.

METGroup is present in 33 national energy markets and 44 international trading hubs. The Group has a significant end-consumer presence in Belgium, Croatia, Italy, Hungary, Romania, Slovakia, Spain, and The Netherlands.

METGroup has 1350+ permanent staff. The company is owned 90% by MET employees and 10% by Keppel Infrastructure, a wholly owned subsidiary of Keppel Corporation*.

Jobdescription

Job Description

• Design, build and deploy AI agents and LLM-based solutions for MET business requirements, from concept through to production
• Develop reusable AI components, templates, connectors, MCP servers and evaluation frameworks, while migrating existing locally developed agents to Azure
• Define and implement standards for hosting, deploying, monitoring, evaluating and managing AI agents on Azure, ensuring alignment with Group IT architecture
• Establish security, monitoring and governance processes for AI agents, including logging, tracing, quality evaluation, cost management, risk classification and data access controls
• Define the framework for transitioning AI agents from business teams to IT ownership, including intake processes, maturity levels, acceptance criteria and responsibilities
• Support and advise technically capable business users on AI agent development, tooling and best practices, while leading the adoption of end-user AI tools such as Microsoft Copilot and Claude
• Collaborate with business stakeholders, Group IT architects and infrastructure teams to translate business requirements into secure, scalable and production-ready AI solutions

Qualifications

• 5+ years of professional software engineering experience, with strong hands-on coding skills in Python and/or C#, energy trading, commodities, banking or financial services is preferred
• Degree in Computer Science, Software Engineering or another relevant technical discipline preferred
• Proven experience building and deploying production-grade LLM-based agents or applications, including tool use/function calling, RAG, MCP, agent frameworks/SDKs and evaluation
• Practical experience with Microsoft Azure, including deployment, identity management (Entra ID) and monitoring; familiarity with Azure AI Foundry and/or Azure OpenAI
• Strong understanding of AI security principles, including data access management, permissions, prompt injection and data leakage prevention
• Ability to translate business requirements into technical solutions and communicate complex technical topics effectively to non-technical stakeholders
• Strong problem-solving, communication and stakeholder management skills, with a structured, collaborative and pragmatic approach
• Experience with Microsoft Copilot / Copilot Studio and Claude is an advantage
• Knowledge of trading regulations (REMIT, EMIR, MiFID II) and AI governance frameworks (EU AI Act, ISO 42001, NIST AI RMF) is an advantage
• Experience mentoring or technically leading engineers is an advantage
• Fluent English