Production AI Engineer — Renewable Energy & Data Orchestration

PEAK Wind Group; København; Hybrid; DKK 900,000 - 1,300,000; Full time

Benefits offered by this job

Flexible work

Inclusive workplace

Leading projects

Learning & growth

Flat structure

Job summary

PEAK Wind is seeking an AI Engineer in a dynamic production-focused environment to shape the AI roadmap and build agent-based solutions. You will collaborate with data engineers, product owners, and domain experts to deploy AI capabilities across internal and client-facing products.

You will drive hands-on development from idea to deployment, with a focus on scalable cloud-based AI systems, governance, and measurable impact in renewable energy operations.

Qualifications

• Hands-on experience in software development, ML, data engineering, or AI Engineering, including AI applications you have helped take into production
• Strong Python and/or TypeScript, and hands-on experience with at least one agent framework
• Experience building or extending evals for LLM and agent behaviour, or an interest in developing deeper expertise in this area
• Experience building in cloud environments, preferably Microsoft Azure; familiarity with PostgreSQL, APIs, and modern web stacks is an advantage
• You code with AI tools such as Claude Code, Codex, or Cursor as a matter of course
• Professional experience in the energy industry or another complex technical environment; renewable energy or SCADA experience is an advantage but not required
• Clear and effective communication skills in English, both spoken and written, with technical and non-technical stakeholders alike
• A go-doer mentality: you would rather ship something real this week and improve it next week than perfect it in a document
• A structured approach to problem-solving and the ability to take initiative, including owning a product from idea to delivery
• The ability to stay calm and constructive in a high-paced environment
• A collaborative mindset and the ability to thrive in an international, cross-functional team

Responsibilities

• Co-develop and maintain the PEAK Wind AI roadmap with the AI team, turning business needs into scoped, sequenced deliverables
• Design, build, and deploy agentic systems for internal colleagues, from reporting and wind farm analysis to engineering-productivity agents
• Design, build, and deploy AI-driven features and agents in our client-facing products, working with SCADA, operations, and asset management data
• Orchestrate multi-agent workflows: tool use, memory, retrieval over company and client data, and integration with our platform through APIs
• Build the evaluation systems that tell us whether an agent works, before and after it reaches production
• Own the data and infrastructure work behind your own agents on the cloud.
• Implement responsible-AI practices for operational energy data: access control, data isolation between clients, logging, and guardrails
• Ship early and iterate put prototypes in users' hands fast and feed what you learn back into the roadmap
• Collaborate with Product Owners and stakeholders to understand what they need, and push back when AI is not the right tool
• Document what you build so others can maintain, extend, and trust it

Skills

Python

TypeScript

AI/ML development

Data Engineering

Production AI

Education

Degree in Computer Science / Software Engineering / Data Science

Tools

Azure Cloud

PostgreSQL

REST APIs

LLM/Agent frameworks

CI/CD tooling

Job description

PEAK Wind is seeking an AI Engineer in a dynamic production-focused environment to shape the AI roadmap and build agent-based solutions. You will collaborate with data engineers, product owners, and domain experts to deploy AI capabilities across internal and client-facing products.

You will drive hands-on development from idea to deployment, with a focus on scalable cloud-based AI systems, governance, and measurable impact in renewable energy operations.