AI Full-Stack Developer, New Grad
Descrição da Vaga
**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. **The Role** You own the RAG and inference infrastructure for the world's first production AI built for antitrust law. October 2026 launch, 50\+ competition authorities worldwide. You're not junior support — you own systems end\-to\-end: retrieval pipelines, vector databases, inference orchestration, API design. You make architecture decisions. You ship every week. Why this matters: Concurrences.com is the definitive antitrust platform (20 years, 100K\+ articles). Now we're turning 330–430K legal documents into a production\-grade agentic research engine. **What You'll Build** * RAG pipelines: chunking, embedding strategies, retrieval optimization (BM25 \+ semantic \+ reranking), latency tuning * Python \+ FastAPI APIs: exposing search, retrieval, agentic workflows to Claude, ChatGPT, enterprise copilots * Weaviate: schema design, indexing strategy, query optimization, cost\-per\-query tuning * LLM integration: managing context, prompt templates, cost/latency trade\-offs * Agentic systems: CrewAI, LangGraph, or LlamaIndex for multi\-step research flows * Infrastructure: CI/CD with Pulumi/Terraform, monitoring, observability **A Typical Week** * Monday: Bug in chunking pipeline. Root cause, fix, PR, test. Partner with LLM engineer on retrieval validation. * Tuesday: Customer request: search across EU \+ US jurisdictions. Redesign query routing. * Wednesday: Code review: intern's reranking module is slow. Pair on profiling, async batching. * Thursday: Monitoring alert: 2\-second tail latency. Design two\-tier indexing. Draft design doc. * Friday: Deploy indexing strategy, monitor post\-launch. Async update to Anton. **Who You'll Work With** Anton Bossenbroek (CTO): 20\+ years at BCG, Bain, EY, Deloitte, and C3\.ai. Your primary technical collaborator. Nicolas Charbit (founder): 20 years building Concurrences into the definitive antitrust platform. Small team. Everyone ships. High signal\-to\-noise ratio. **Must\-Have Qualifications** * Strong Python — ship production code daily. FastAPI is a big plus. * Built APIs or backend systems — something other code calls. * Hands\-on LLM APIs — you've integrated Claude, ChatGPT, or another LLM into a system. * Git and DevOps thinking — version control, CI/CD concepts, deploying code. * Production mindset — you think latency, cost, monitoring, failure modes. **Big Pluses** * Vector database hands\-on: Weaviate, Pinecone, pgvector, FAISS, or Milvus * Agentic frameworks: CrewAI, LangGraph, LlamaIndex, or LangChain * Infrastructure as Code: Terraform, Pulumi, or CloudFormation * GCP experience: Cloud Run, BigQuery, Pub/Sub, Cloud Storage * FastAPI specifically: production FastAPI systems * Law background: law degree, coursework, antitrust thesis **Compensation \& Logistics** R$6,600–R$11,000/month (\~€1,200–€2,000\), paid in EUR via Wise. Independent contractor, monthly invoicing. Location: Remote\-first, async work culture. The CTO is based in Vancouver, the company in Paris. English required, French a plus. Start: ASAP, within 4 weeks. **Interview Process** 1. Application — CV/LinkedIn, GitHub link, 4 qualifying questions (submitted via application form below). 2. 15\-min intro call with Anton (CTO) — Why this role? Culture fit and motivation. 3. Two 30\-Minute Deep Dives — System design and real problem solving. 4. 20\-min conversation with Nicolas (founder) — Domain understanding, alignment. **Growth Path** Phase 1: Component Builder → Phase 2: Pipeline Owner → Phase 3: System Architect → Phase 4: Technical Lead or Product Engineer.
Vaga originalmente publicada em: linkedin
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