Production AI Research Engineer

Lovable; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Lovable in London seeks an engineer who has hands-on post-training experience at scale to translate research into production training recipes and run models in production for code generation and agent workloads.

You will own the full post-training pipeline, applying RL, preference optimization, and supervised fine-tuning to improve model behavior and reliability. You’ll work on production systems, GPU orchestration, and data pipelines to ship fast.

Qualifications

• Experience running post-training jobs on large language models.
• Solid production code ability for reliable systems.
• Experience with distributed training and GPU clusters.

Responsibilities

• Own the full lifecycle of Lovable's post-training pipeline from data curation to deployment.
• Apply reinforcement learning, preference optimization, and supervised fine-tuning to improve code generation and agent performance.
• Build evaluation and experimentation infra to measure real-world impact of changes.
• Develop and operate production systems that run training jobs at scale, including GPU orchestration and data pipelines.
• Collaborate with agent, product, and infrastructure engineers to translate model gains into user-visible improvements.
• Investigate failures end-to-end across training, data, and serving.
• Read papers, run experiments, and move quickly to production.

Skills

Post-training at scale

Production-grade code

Distributed training

GPU clusters

Evaluation systems

Model debugging

Tools

PyTorch

JAX

Job description

Lovable in London seeks an engineer who has hands-on post-training experience at scale to translate research into production training recipes and run models in production for code generation and agent workloads.

You will own the full post-training pipeline, applying RL, preference optimization, and supervised fine-tuning to improve model behavior and reliability. You’ll work on production systems, GPU orchestration, and data pipelines to ship fast.