We're seeking an AI Engineer with solid foundations in LLMs and applied machine learning, a product mindset, and a drive to grow fast in a high-ownership environment.

What you'll be doing

You'll be part of our Data & AI team, working closely with engineering squads and business stakeholders across a remote-first organisation spread across Asia and Europe. Your primary focus is building and shipping AI features that solve real problems — LLM-based solutions, RAG pipelines, AI-assisted workflows — integrated into our product and internal systems. You'll collaborate asynchronously and across time zones as a matter of course. AI tools are central to how we work: you'll use them to accelerate your own development, while also being someone who builds them.

Responsibilities

• Develop and deploy LLM-based solutions and RAG architectures that solve real business problems
• Contribute to the end-to-end lifecycle of AI features: problem framing, data preparation, modeling, evaluation, deployment, and monitoring
• Work with existing data pipelines for preprocessing, feature extraction, and model inference
• Integrate AI solutions into the company's cloud infrastructure, ensuring scalability, security, and performance
• Collaborate with cross-functional squads to embed AI capabilities into products and internal tools
• Use AI coding tools (e.g. Cursor, Claude Code, GitHub Copilot) as a standard part of your development workflow
• Contribute to identifying where AI can add measurable value to business processes and products

Requirements

• Minimum of 3 years in a Software Development role, including at least 1 year in AI/ML engineering
• Proven experience building and deploying LLM-based or RAG solutions in a production environment
• Strong programming skills in Python, including hands-on experience with async patterns and FastAPI
• Demonstrated, hands-on experience using AI coding tools in a production engineering context
• Understanding of how AI solutions are integrated into cloud-based systems (preferably AWS)
• Proficiency in database management, data wrangling, and working with distributed systems
• Solid foundation in algorithm design, statistics, and data science
• Ability to communicate effectively in a remote environment — clear written communication, reliable async collaboration

Preferred Skills

• Familiarity with MLOps practices and tools (CI/CD for ML, experiment tracking, monitoring)
• Experience with vector databases and semantic search (e.g. Pinecone, Weaviate, Elasticsearch)
• Exposure to AI/ML frameworks such as PyTorch, TensorFlow, LangChain or similar
• Experience working on a SaaS platform, or at least a custom-built product
• Self-directed and curious: you take ownership of your tasks, seek feedback proactively, and drive your own growth without waiting to be pushed