# AI Engineer at Lemrock AI Engineer at Lemrock in Paris. Hybrid, full-time. Posted October 2, 2026. - Company: Lemrock - Location: Paris - Workplace: Hybrid - Job type: Full-time - Experience: 2+ years - Posted: 2026-10-02 - Apply: https://jobs.ashbyhq.com/lemrock/9abac39d-1f38-4d05-b5b8-b5971e43e64e/application - Source: https://jobmagic.ai/jobs/ai-engineer-lemrock-gm2zqd ## Description ### Who we are Lemrock builds the infrastructure of agentic commerce. Tomorrow, consumers won't just buy on e-commerce websites. They will discover, compare and purchase directly inside conversational AI interfaces like ChatGPT, Perplexity, and a growing long tail of specialized AI assistants. For brands, this is a major shift: if they are not present in these environments, they become invisible. Our mission: enable any brand to exist, sell and distribute in this new channel. We raised a €7M seed round (the first in Europe on this market), with Jean-Baptiste Rudelle, founder of Criteo, on our board, and the Bpifrance DeepTech label. Today, Lemrock is already: - 100M+ conversations per month - 150+ brand clients - a $100B market structuring at high speed ### Context You'll join a tight-knit team with high product standards and **direct access to production deployment**: our models are tested in real-world conditions, with several million users each month, with very short cycles between prototyping, integration and deployment. In this context, you'll work on the **next generation of agentic and recommendation systems**: building the pipelines, agents, and models that sit at the core of our product. ### Your Mission Your goal is to **build and scale the agentic infrastructure that powers Lemrock's commerce intelligence**: turning raw signals into automated, self-improving systems at production scale. Concretely, you will: - **Analyze large-scale conversational interaction datasets** (100M+ events/month) to uncover behavioral patterns, intent signals, and performance drivers. - **Design and deploy agentic pipelines end-to-end**, from data ingestion and enrichment to model orchestration, monitoring, and continuous improvement, integrated into systems exposed to millions of requests daily. - **Build autonomous agents** that keep our knowledge infrastructure accurate and current. - **Translate insights into iteration loops in production**, by updating, fine-tuning, and improving our existing recommendation and ranking algorithms with tight constraints on latency, robustness, and business outcomes. - **Design and train new recommendation models from scratch** when needed, with a focus on scalability, evaluation rigor, and deployability in real-world traffic. ### Candidate Profile - Strong academic background (MVA, ENS, X, Central…) - 2+ years of experience in AI, Agentic Systems, ML / Deep Learning, statistics or NLP - Experience prototyping and deploying AI models into production - Experience with production systems (APIs, monitoring, optimization) - Strong interest in LLMs, recommendation and conversational systems: building agentic pipelines, agent orchestration, fine-tuning - Comfortable with AI coding tools (Claude Code, Cursor) - Thrives in ambiguity and 0-to-1 environments - Fluent in English; French is a plus ### Tech Stack ### ML/AI (required) - Agentic frameworks (e.g., Langchain) and/or native SDKs like OpenAI/Anthropic - Observability and evaluation for LLM/agent workflows - Vector search, scoring, prompting, LLM orchestration - Hybrid recommender systems, causal inference, probabilistic models ### Bonus (appreciated but not required) - TypeScript - Engineering: Docker, GCP, PostgreSQL, Redis, Vector DBs, PostHog - CI/CD ### Why Join Us - Join a company in **early breakout mode**, already generating revenue, with a clear technological edge and strong financial backing to fuel its growth - Work directly with an **experienced team**: two repeat YC founders who've scaled product & tech before, a former strategy/innovation director (10 years in the sector), and ex-strategy consultants (McKinsey QuantumBlack, BCG) - Be part of the **next structural shift of the web**: agentic interfaces - Own **mission-critical topics**, grow fast, and shape the company's future trajectory ### Package Competitive salary disclosed during the interview process.