Machine Learning Engineer (LLMs)

Overview

In this role you will build and ship production AI systems focused on large language models and generative AI. You will contribute across the full ML lifecycle, from experimentation to deployment, collaborating with engineers and product teams to solve real-world problems. The role emphasizes scalable, reliable AI solutions with attention to performance and latency. You will work on cutting-edge AI that is actually deployed, providing tangible impact in a fast-moving environment. This is a hands-on, ownership-driven opportunity to shape real-world AI products.

Pay / Benefits

• Competitive salary + equity
• 7% pension
• Private healthcare
• Free daily meals
• Significant technical ownership

Responsibilities

• Build and deploy LLM-powered products
• Work with RAG, fine-tuning and agentic AI
• Develop evaluation and ML pipelines
• Improve model performance, latency and reliability
• Collaborate with engineers and product teams to solve real-world problems

Key requirements

• Strong Python and PyTorch
• Hands-on experience with LLMs / Generative AI
• Experience deploying ML models into production
• Understanding of transformers and modern NLP
• Experience with RAG, fine-tuning, evaluation or agents

• collaboration with cross-functional teams
• problem-solving
• proactive communication
• Python
• PyTorch
• LLMs / Generative AI

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