Junior AI Full-Stack Developer — Concurrences.AI
About Concurrences
Mission: "Connecting Antitrust People."
The global platform for competition law — 20+ years, 150+ countries, ~50,000 professionals. Lawyers, economists, judges, regulators, academics: all shaping competition policy. We started as a challenger taking on established players. That DNA hasn't changed — now we're building with generative AI.
What drives us:
Excellence — scientific rigor and editorial quality in everything we publish. Innovation as a driving force — pioneering new formats, anticipating industry trends, now building with generative AI. And a global community connected through high-level dialogue and best practices shared across borders.
What You'll Build
You own RAG infrastructure for 330–430K legal documents. Chunking pipelines. Vector database tuning. API components. Real systems, real lawyers depend on it.
Concrete work:
· Intelligent chunking for French court decisions (preserve precedent hierarchy)
· Weaviate integration, embedding strategy optimization, semantic search at scale
· RAG components: retrieval → reranking → context → LLM calls
· Evaluation infrastructure so domain experts measure correctness, not just plausibility
· Ship 3–5 features in month one
Tech:
Python, FastAPI, Weaviate, PostgreSQL, GCP. Plus: CrewAI/LangGraph/LlamaIndex, Pulumi/Terraform.
A Typical Week
·
Monday:
Debug chunking pipeline mangling PDFs. Propose fix, pair, ship it.
·
Tuesday:
Embedding model struggles with French legal terms. Document, propose mitigation.
·
Wednesday:
Design caching strategy for API. Watch latency drop.
·
Thursday:
Code review. Close issues. Plan sprint.
Who You'll Work With
Anton Bossenbroek
(CTO): 20+ years at BCG, Bain, EY, Deloitte, and Experience scaling AI systems from 0→1 and 1→many, including generative AI. Your primary technical collaborator on architecture and AI integration.
Nicolas Charbit
(founder): 20 years building Concurrences into the definitive antitrust platform. Shapes domain direction and product strategy. Accessible and involved.
Edouard
(co-founder, operations): Handles business operations, vendor relationships, and expert network coordination. Accessible and involved.
Vendor partner
— External team building core platform infrastructure. You'll collaborate on API contracts and integration.
The team:
Small, focused, high-ownership. This is a strategic AI initiative for a 20-year company — you'll matter immediately.
Who This Role Fits
You ship real systems. You reason from first principles. You're a generalist ready to learn fast — APIs, databases, infrastructure, legal domain, all at once. Motivated by collaboration, mission, and growth — not cash. You ask until you understand.
You Must Have
·
Python:
Non-trivial production code. Async, testing, error handling.
·
Backend/API:
Built and deployed a web service (FastAPI, Flask, Django).
·
Linux & Git:
Terminal-comfortable. Workflows, shell scripts, SSH.
·
SQL:
Write queries. Understand joins and indexes.
·
Intellectual honesty:
Admit unknowns. Growth mindset non-negotiable.
Big Pluses
· Vector databases or RAG (Weaviate, pgvector, Pinecone)
· Agentic frameworks (CrewAI, LangGraph, LlamaIndex)
· GCP or cloud platforms
· Infrastructure as Code (Terraform, Pulumi)
· Law, legal tech, court decisions
Compensation & Timeline
R$6,600/month
(~€1,200), paid EUR via Wise. Independent contractor, monthly invoicing.
Initial 3-month project engagement with clear path to ongoing collaboration at a higher rate. Production infrastructure experience. You'll be among the first engineers building Concurrences.AI.
Start:
ASAP, within 4 weeks.
Interview Process
1.
Application
— CV, GitHub, three written answers below.
2.
15-min intro call with Anton (CTO)
— Who you are, what excites you, fit.
3.
Two 30-min deep dives
— Architecture & trade-offs. Real RAG problem-solving.
4.
20-min conversation with Nicolas (founder)
— Domain understanding, alignment, culture.
Timeline: 2–3 weeks, application to offer.
Written Questions
· Why does AI + law excite you?
· Describe a production system you shipped — what was hard, what you learned.
· Tell us about learning something new quickly without much guidance.
· What project or achievement are you proudest of achieving and why?
· How do you use LLMs in your daily lives?
Remote & Async
English required. French a plus. Remote-first, async work culture. The CTO is based in Vancouver, the company in Paris. We coordinate across time zones — responsiveness matters more than fixed hours. Start ASAP, within 4 weeks.
Include: CV (1–2 pages), GitHub, written answers.