AI Engineer, Agentic Systems & Production

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

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