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AccuRanker is recruiting a backend-focused engineer to build features across the core platform and AI-enabled components. You will work on Django-based APIs, background processing, and data models that power large-scale analytics.
The role emphasizes ownership, scalable design, and the potential to extend to frontend work if desired. Located in Aarhus with an on-site role and future hybrid options.
Someone researching a purchase might start in ChatGPT, compare options in Perplexity, run a Google search, then go back to an AI assistant to decide. The companies being compared have little idea where they show up in that chain or what gets said about them, and very few can measure it today.
We build the infrastructure that measures it. Every platform we track changes under us, and none of them offers a feed, so we collect the data ourselves. Three products run on it:
On a normal day that means 27 billion rows inserted, 85 million web requests collected, 80 million background jobs run, and 64 million analytical queries served. Eight people build and run all of it.
This job is on the product side: the backend, the data models, and the query paths that run on top of what we collect.
Must have :
Good to have:
All of it can be learned here.
People who set a high standard for their own work, and who care about performance, reliability, cost, and operational simplicity.
You want to own a feature end to end, from idea to production. The problems we hand you will be scoped at first, and less so over time, and a month after something ships, you are still the one who cares about it.
You move fast when speed is what the problem needs, and you know when stability, safety and maintainability matter more.
This field moves fast right now. We expect you to read, try things, and form your own view of what is worth using, without waiting to be told what is new.
The job is wide. In one week you might tune a query, ship a customer-facing feature, and design an agent.
This role is not for you if you want a narrow technical scope or a large team around you. We are small, the problems change, and you will get real responsibility earlier than most places give it. The senior engineers sit next to you, and asking them is part of the job.
AI is a big part of the product and of how we build it. AccuLLM sends queries to LLMs all day, customers use our MCP server, and agents and tool design are real engineering problems here.
Being effective with coding agents is becoming a core engineering skill, and it is part of this job. You should be good at giving agents the right context, breaking work into pieces they can execute well, reviewing what they produce, and knowing when to take over yourself. The bar is more high-quality engineering done without outsourcing your understanding and judgment, which is a different thing from using AI a lot.