AI Engineer

About the role

Lemrock is building the infrastructure for agentic commerce, enabling brands to sell directly within conversational AI interfaces. You will join a high-growth team to design and scale the agentic pipelines and recommendation systems that power their commerce intelligence. This role involves working with large-scale interaction data and deploying models that serve millions of users.

Responsibilities

• Analyze large-scale conversational interaction datasets 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.
• Build autonomous agents that keep knowledge infrastructure accurate and current.
• Translate insights into iteration loops in production by updating, fine-tuning, and improving recommendation and ranking algorithms.
• Design and train new recommendation models from scratch with a focus on scalability, evaluation rigor, and deployability.

Required skills

• AI
• Agentic Systems
• Machine Learning
• Deep Learning
• Statistics
• NLP
• LLMs
• Recommendation systems
• Conversational systems
• Langchain
• Vector search
• Prompting
• LLM orchestration
• Causal inference
• Probabilistic models

Nice to have

• TypeScript
• Docker
• GCP
• PostgreSQL
• Redis
• Vector DBs
• PostHog
• CI/CD

Qualifications

• Strong academic background
• 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

About the Company

Lemrock builds the infrastructure of agentic commerce, helping brands exist and sell within conversational AI interfaces. The company has raised a 7M Euro seed round and manages over 100 million conversations per month for more than 150 brand clients.