Research Engineer – LLM Agents & Code Generation Join a fast-growing AI startup developing next-generation systems that use large language models to reason, plan and write code. You'll work at the intersection of cutting-edge research and production, helping turn the latest advances in agentic AI into real-world products.

About the Role We're looking for a research engineer who enjoys experimenting, building and shipping. You'll develop novel approaches to code generation, agent orchestration and LLM reasoning while working closely with a highly technical team to bring research into production.

What You'll Do Research and develop LLM-based systems for reasoning, planning and code generation Design experiments and benchmarks to evaluate new approaches Translate the latest AI research into production-ready capabilities Explore model adaptation, post-training and agent orchestration techniques Build robust Python tooling and production-quality research code

What You'll Bring Master's or PhD in Computer Science, Mathematics, Physics or equivalent industry experience Strong background in AI/ML research with language models or autonomous systems Excellent Python skills and solid experimental methodology Experience with modern ML frameworks such as PyTorch, TensorFlow or JAX

Nice to Have LLM fine-tuning or reinforcement learning experience Knowledge of compiler technology, program synthesis or code generation GPU programming experience (CUDA or ROCm) Research publications or notable open-source contributions