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Senior Engineer – AI & Data Products (Aarhus)
Aarhus, Denmark
Actively hiring, first seen by us 3 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingTake client ideas from hypothesis to prototype and then to a production system
Design architecture and write code across frontend, backend, and data
Build generative AI applications and agents with their reliability harnesses
Build retrieval pipelines and data flows, and connect them to client systems
Set up evals and observability, and review code for less experienced engineers
From the employer’s posting
take client ideas from a rough hypothesis to a working prototype, and then to a production system that runs reliably
You'll design the architecture, write the code across frontend, backend, and data
The work covers generative AI applications and agents, including the harnesses that make them reliable
along with retrieval pipelines and the data flows they depend on. You’ll connect these to client systems
set up the evals and observability you need to see whether they work and how to improve them
Education & alternatives
What you'll bring You're a builder at heart. You have a master's degree in computer science, engineering, or a related field, (preferably) 5+ years of hands-on software experience, and a track record of shipping production-ready software systems. Ideally, you also have experience with the whole software development lifecycle: starting with an idea (whether your own or a stakeholder’s), designing the solution architecture, developing and testing the solution, and putting it into the hands of actual users. Good engineering matters to you, but you’re not a purist, you care more about shipping something that works and solves the problem. What sets you apart is depth beyond the code. You know AI (LLMs, agents, RAG, evals) and data (data modelling, pipelines, event-driven, and real-time systems) well enough that others come to you for it. Ideally, you know a bit of both.
About Implement Consulting Group
We help organisations unlock the potential of data, AI, and analytics so they’re fit for the digital future.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 20263 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Implement Consulting Group is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- TypeScript
- AWS
- Azure
- GCP
- FastAPI
- React
Where the posting names them
To be a great fit, it helps if you have: - Solid full-stack skills in Python and/or TypeScript (e.g., React, Next.js, FastAPI), with production systems to show for it - Hands-on experience building agents and the harnesses around them (tool use, MCP, context and memory management, orchestration, guardrails), and designing the data models and pipelines that real products run on
- An AI-native way of working, using coding agents such as Claude Code, Cursor, or Codex in your own development workflow, with a clear view of where they help and where they don’t - Experience deploying and running solutions on AWS, Azure, or GCP, including containers, CI/CD, and enough observability to know what's going on - System-level judgement: you can reason about architecture, trade-offs, and failure modes, and you can spot the weak points in an existing stack
Your next step
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Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
Job Description
Senior Engineer – AI & Data Products (Aarhus)
The Tech Collective, Data & AI
Kalkværksvej 5, 8000 Aarhus · Full-time
We’re looking for a senior builder who turns AI and data into products people actually use. You’ve shipped real systems end to end, you know AI or data well enough to make it work in production, not just in a demo, and AI is as much a part of how you build as what you build.
What you'll do
In this role, you’ll take client ideas from a rough hypothesis to a working prototype, and then to a production system that runs reliably. You'll design the architecture, write the code across frontend, backend, and data, and decide what to build and what to leave out. It's a hands-on role. Most of your time goes into building, and the rest goes into working with clients to make sure you’re building the right thing.
The work covers generative AI applications and agents, including the harnesses that make them reliable (tools, context, memory, orchestration, and guardrails), along with retrieval pipelines and the data flows they depend on. You’ll connect these to client systems, deploy them in the cloud, and set up the evals and observability you need to see whether they work and how to improve them. You’ll work closely with our data platform and AI specialists, review code, and help less experienced engineers grow.
What you'll bring
You're a builder at heart. You have a master's degree in computer science, engineering, or a related field, (preferably) 5+ years of hands-on software experience, and a track record of shipping production-ready software systems. Ideally, you also have experience with the whole software development lifecycle: starting with an idea (whether your own or a stakeholder’s), designing the solution architecture, developing and testing the solution, and putting it into the hands of actual users. Good engineering matters to you, but you’re not a purist, you care more about shipping something that works and solves the problem.
What sets you apart is depth beyond the code. You know AI (LLMs, agents, RAG, evals) and data (data modelling, pipelines, event-driven, and real-time systems) well enough that others come to you for it. Ideally, you know a bit of both.
You're equally at home building AI products and building with AI. Coding agents and AI-assisted tools are part of how you work every day, and you use them critically. You know where they make you faster and where the output needs a careful human eye.
To be a great fit, it helps if you have:
Solid full-stack skills in Python and/or TypeScript (e.g., React, Next.js, FastAPI), with production systems to show for it
Hands-on experience building agents and the harnesses around them (tool use, MCP, context and memory management, orchestration, guardrails), and designing the data models and pipelines that real products run on
An AI-native way of working, using coding agents such as Claude Code, Cursor, or Codex in your own development workflow, with a clear view of where they help and where they don’t
Experience deploying and running solutions on AWS, Azure, or GCP, including containers, CI/CD, and enough observability to know what's going on
System-level judgement: you can reason about architecture, trade-offs, and failure modes, and you can spot the weak points in an existing stack
Curiosity about the client’s problem, and the ability to explain technical choices clearly to people who don’t write code
A habit of helping others get better through sparring, pairing, and code reviews
English is our corporate language. Proficiency in one or more additional languages is a plus.
What we offer
At The Tech Collective, you’ll join a team of 30 consultants that feels closer to a nerdy startup than a large consultancy, while being firmly backed by Implement Consulting Group. You’ll own what you build, and you’ll have the freedom to shape your role in the direction that motivates you.
You’ll work on data and AI problems across industries, alongside experienced peers in AI, data, and software. Our culture is built on trust, curiosity, humility, and impact, with high autonomy, co-creation, and active knowledge-sharing.
Ready to build with us? We review applications on an ongoing basis, so apply as soon as you can.
About The Tech Collective
The Tech Collective is a fast-growing consulting company powered by Implement Consulting Group. We help organisations unlock the potential of data, AI, and analytics so they’re fit for the digital future. In our collective, you’ll find people who combine nerdiness with infectious energy. We’re passionate about technology, and we have a sincere interest in people
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- Pay
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- Location & working pattern
Aarhus, Denmark
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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