Senior Engineer – AI & Data Products (Aarhus)

Implement Consulting Group

Aarhus

On-site

DKK 900,000 - 1,300,000

Full time

2 days ago
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Job summary

The Tech Collective, backed by Implement Consulting Group, is seeking a senior builder who turns AI and data into production‑grade products. You’ll own from idea to prototype to scalable system, shaping architecture, code across frontend, backend, and data, and collaborating with clients.

You’ll work with generative AI apps, tools, memory, pipelines, and observability, deploy to cloud, and mentor peers, balancing speed with quality while communicating technical choices to non‑engineers.

Qualifications

  • Master's degree in computer science, engineering, or a related field.
  • 5+ years hands‑on software experience with production systems.
  • Experience delivering end‑to‑end software from idea to users.
  • Strong engineering mindset with bias toward shipping high‑quality solutions.
  • Knowledge of AI (LLMs, agents, RAG) and data systems.

Responsibilities

  • Take client ideas from rough hypothesis to production systems.
  • Design architecture across frontend, backend and data components.
  • Build and ship through hands‑on coding and collaboration with clients.
  • Develop generative AI apps, including tooling, context, memory, and orchestration.
  • Deploy to cloud (AWS/Azure/GCP), implement CI/CD and observability.
  • Review code and mentor less experienced engineers.

Skills

Python
TypeScript
React
Next.js
FastAPI
AI
Data pipelines
CI/CD

Education

Master's degree in computer science, engineering, or related field

Tools

Claude Code
Cursor
Codex

Job description

  • Full-time
  • Office: Aarhus
Job Description

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.

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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