AI Engineer

Lemrock; Paris; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

TypeScript

Docker

GCP

PostgreSQL

Redis

Vector DBs

PostHog

CI/CD

Job summary

Lemrock is building the infrastructure of agentic commerce, turning raw signals into automated, self-improving systems at production scale. You will analyze large-scale conversational data, design end-to-end agentic pipelines, and build autonomous agents that keep knowledge accurate and current.

You will translate insights into production improvements for our recommendation and ranking algorithms, with a focus on latency, robustness, and business outcomes, while designing new models when needed

Qualifications

• 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.

Responsibilities

• Analyze large-scale conversational interaction datasets to uncover behavioral patterns and signals.
• Design and deploy agentic pipelines end-to-end, from data ingestion to model orchestration.
• Build autonomous agents that keep knowledge infrastructure accurate and current.
• Translate insights into production iteration loops, updating ranking algorithms with latency and robustness constraints.
• Design and train new recommendation models from scratch for scalability and deployability.

Skills

AI experience

Agentic systems

ML / Deep Learning

Statistics

NLP

Production deployment

English fluency

Education

Strong academic background (MVA, ENS, X, Central…)

Tools

Langchain

OpenAI

Anthropic

Claude Code

Cursor

APIs

Monitoring tools

Docker

Job 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.