Research Engineering Lead

Lovable; Stockholms kommun; On-site; SEK 85,000 - 120,000; Full time

Job summary

Lovable in Sweden is seeking a hands-on research and engineering leader to optimize AI software engineering performance. You will own end-to-end experiments, from dataset design to model alignment.

Ideal candidates will possess experience leading LLM research, have a strong background in fine-tuning models, and be natural leaders. You'll have the opportunity to design and evaluate high-quality experiments and partner with engineering teams to build a world-class product.

Qualifications

• Led cutting-edge LLM research at top AI labs.
• Developed state-of-the-art models for code generation.
• Strong sense for effective evaluation in experiments.

Responsibilities

• Build powerful LLMs into lovable products.
• Design and execute experiments grounded in real coding.
• Optimize product-centric LLM performance metrics.

Skills

LLM research

Fine-tuning transformer models

Code generation

Experiment design

Team leadership

Tools

React

Golang

Rust

AWS

Terraform

Job description

TL;DR - We’re looking for a hands‑on research and engineering leader to get the best performance out of commercial and open source frontier models, in order to power the future of AI software engineering. You’ll own experiments end‑to‑end—from dataset design to model alignment and performance optimization. Must be curious, experimental, and obsessed with squeezing the most out of models.ae

What we’re looking for

• Led or contributed to cutting‑edge LLM research at top AI labs
• Fine‑tuned large‑scale transformer models on datasets including code, natural language, and multimodal inputs
• Developed state‑of‑the‑art models for code generation
• Designed high‑quality experiments and have strong sense for effective evaluation
• A natural leader obsessed with building the best technical team in the world
• Mentored team of researchers / engineers, and led collaborative projects across research, engineering, and product teams
• Bonus: Published at top ML/AI conferences on LLMs, code intelligence, or agentic reasoning

What you’ll do

In one sentence: Build the most powerful ensemble of LLMs into lovable products.

• Design and execute experiments grounded in real coding and product use cases
• Define, track and optimize product‑centric LLM performance metrics
• Partner with engineering leads to hire and hone a world‑class team
• Own training pipelines, distillation workflows, and synthetic data generation systems
• Work closely with infra and product engineers to scale and ship model improvements

Our tech stack

We're building with tools that both humans and AI love:

• Frontend: React for lightning‑fast interfaces
• Backend: Golang and Rust for serious performance
• Cloud: Cloudflare, Google Cloud Run, AWS, Terraform
• DevOps & Tooling: CI/CD pipelines, observability, infra‑as‑code

And always on the lookout for what's next!