AI Engineer

Posted Yesterday
Be an Early Applicant
5 Locations
Remote or Hybrid
Mid level
Artificial Intelligence • Information Technology • Software
The Role
Build and deploy internal AI agents, automations, and LLM integrations across Aceve’s portfolio companies. Partner with business teams to identify opportunities, scope solutions, support adoption, iterate based on feedback, create reusable engineering components, evaluate AI tools, document solutions, and provide technical guidance through workshops and enablement.
Summary Generated by Built In

At Aceve, we back the builders of society. Founded in the Nordics and growing across Europe, we build digital tools for the people who construct and maintain our physical world - giving electricians, plumbers, and contractors back their time, clarity, and confidence. With over 900 employees across 8 countries, leading brands in 7 customer markets, and more than €100M in revenue, we're on an ambitious growth journey, and we're just getting started. We're an AI-first company, and we work with grit, openness, and a good dose of joy.

About the role:

As an AI Engineer at Aceve, you will design, build, and deploy the internal AI solutions that power our digital transformation across the group’s portfolio companies. You’ll sit within the AI Transformation Team, reporting to the Head of AI, and work directly with business teams to ensure the solutions you build are genuinely adopted, iterated on, and making a difference. This is a hands-on engineering role with real commercial impact — the kind of work that shapes how an entire organisation thinks about AI.

What will you do:

You’ll take ownership of the full lifecycle of internal AI products — from scoping with business stakeholders through to deployment and continuous improvement. You won’t just build in isolation; you’ll stay close to the teams using your solutions to make sure they stick.

  • Design and build AI agents, automations, and LLM integrations that solve real operational challenges across ACEVE Group’s portfolio companies.

  • Partner with business teams to understand their workflows, identify high-impact AI opportunities, and translate them into working solutions.

  • Iterate on deployed solutions based on real-world usage and feedback, ensuring adoption and continuous improvement.

  • Contribute to a shared engineering foundation — reusable components, patterns, and best practices that scale across the group.

  • Evaluate and recommend new AI tools, models, and frameworks that could advance Aceve’s internal capabilities.

  • Document your solutions clearly so business teams and colleagues can understand, maintain, and build on them.

  • Support the AI Champions network with technical guidance and pair-building sessions, helping colleagues across departments implement AI in their daily work.

  • Run occasional hands-on or remote workshops when deep technical expertise is needed, and gather user feedback directly across ACEVE’s multiple markets.

We believe you have:

  • 2+ years of hands-on experience building and deploying AI or software engineering solutions in a professional environment.

  • A degree in Computer Science, Software Engineering, or a related field — or equivalent demonstrated experience.

  • Strong proficiency with LLM APIs and frameworks (e.g. OpenAI, Anthropic, LangChain, LlamaIndex) and the ability to build production-ready integrations.

  • Experience building automations or AI agents that interact with real business systems and data.

  • The communication skills to work effectively with non-technical stakeholders — you can scope problems, explain trade-offs, and manage expectations.

  • A bias for shipping — you care about solutions that actually get used, not just solutions that technically work.

  • Comfort working remotely and collaborating across European and Nordic time zones, with occasional travel to Aceve offices.

Bonus Points For:

  • Experience building AI solutions within a SaaS, scale-up, or multi-product environment.

  • Familiarity with retrieval-augmented generation (RAG), fine-tuning, or AI evaluation frameworks.

  • Experience running workshops, training sessions, or developer enablement activities.

Not ticking every box? No worries! We value potential and drive, so apply anyway or connect with us- you might be just what we're looking for in our growing organisation! Join Aceve and take your expertise to the next level, together we are redefining what’s possible in craft and construction solutions!

Aceve is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our selection process is conducted continuously and without discrimination, ensuring an equal opportunity for all candidates.

Skills Required

  • 2+ years of hands-on experience building and deploying AI or software engineering solutions professionally
  • Degree in Computer Science, Software Engineering, or related field, or equivalent demonstrated experience
  • Strong proficiency with LLM APIs and frameworks such as OpenAI, Anthropic, LangChain, or LlamaIndex
  • Experience building automations or AI agents that interact with real business systems and data
  • Ability to communicate effectively with non-technical stakeholders, scope problems, explain trade-offs, and manage expectations
  • Experience building AI solutions within a SaaS, scale-up, or multi-product environment
  • Familiarity with retrieval-augmented generation, fine-tuning, or AI evaluation frameworks
  • Experience running workshops, training sessions, or developer enablement activities
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The Company
900 Employees
Year Founded: 2012

What We Do

Aceve is a SaaS company that develops cloud-based, AI-driven software for construction companies and skilled tradespeople. Its platform supports the running of projects, installations, maintenance, and services, providing data-driven insights and helping customers improve performance, productivity, and profitability. The company brings together multiple products into one platform and serves customers across seven countries, aiming to accelerate digitalization in a traditionally underserved industry.

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