Software Engineer

Builders

Netherlands · Full-time · Not Applicable

Job Description

About Avery

Avery is a Hiring Intelligence Engine - not another Applicant Tracking System (ATS) or sourcing tool, but a system that learns how your company hires and gets smarter with every role filled. We sit on millions of candidate profiles, hiring signals, and market intelligence data across Europe.

Our mission: make mis-hires as rare as accounting errors.

We're backed by Builders Studio, based in Rotterdam, and growing fast. Soon we’ll move to Amsterdam.

Why this role exists

One of our founding engineers has moved on - we're looking for the person who fills that seat and raises the bar. We have real data. Millions of candidate profiles, hiring outcomes, market signals. What we don't yet have is someone obsessed enough to make that data do everything it's capable of - reliable pipelines, labeled datasets, and eventually, predictive models that tell a company who to hire before they even know they need someone.

What You'll Build

Data Analysis & Engineering (50%)

Build and own ETL pipelines that make our candidate, hiring, and market data reliable, accessible, and production-ready
Dig into the data - surface patterns, catch quality issues, find what's missing
Establish data quality standards and monitoring so everything downstream is built on a trustworthy foundation
Identify data gaps and either acquire what's needed or make the case for it

AI-Powered Platform (30%)

Build full-stack features from backend logic to polished UI - we ship things people actually use
Architect for scale: clean, well-tested, maintainable code that doesn't become tomorrow's problem
Improve the agentic workflows powering our sourcing, screening, matching, and market intelligence systems
Bring engineering judgment into product and UX decisions - you'll have a seat at that table

Predictive Hiring (20%)

Define what labeled datasets look like for our domain - what does "good match" actually mean in data terms?
Assess whether our data can support predictive models: candidate-role fit, response likelihood, time-to-fill
Where the data supports it, build and iterate on fine-tuned models end-to-end — from exploration to production
Own the data & AI roadmap alongside the interim CTO/CPO

Job Requirements

What we're looking for

Must-haves

Strong data engineering background: ETL pipelines, data infrastructure, analysis at scale
Full-stack ability: comfortable across React, TypeScript, Next.js, Node.js - not just notebooks
Hands-on AI/ML: LLMs, embeddings, RAG, fine-tuning, prompt engineering
Data science fluency: statistical modeling, building labeled datasets, knowing when data can and can't support a model
Familiarity with: OpenSearch, Apache Spark, AWS, Inngest, Railway, Mastra or similar agentic frameworks
Uses AI-assisted development tools (Claude Code, Codex, etc.) as a matter of course

The mindset that matters more than the stack

Gets excited about messy data - finding signal where others see noise
Ships. Doesn't wait for perfect conditions
Thinks in products, not just systems - cares whether what gets built actually helps someone
Comfortable with ambiguity and building in an early-stage environment where the roadmap evolves

Why join now

Real data, real problem: Millions of profiles, genuine hiring signal, a clear path from data to prediction - this isn't a greenfield project with fake data.
Founding-level influence: Technical direction, data strategy, product decisions - you'll shape all of it.
Equity-first: Substantial equity for someone who wants to build long-term value, not just collect a salary.
Competitive salary: Equity is the focus, but the package is fair.
Something worth building: Companies make better hires. People land better roles. The impact is real.

Key Skills

Ranked by relevance

etl ai typescript apache react spark aws ats ui ux

Related Jobs

3 roles aligned with this opportunity

View all jobs