Senior AI & Data Product Engineer

Implement Consulting Group; Aarhus; On-site; DKK 900,000 - 1,300,000; Full time

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

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.