Senior AI Engineer
Summary
Design and deploy production AI features (recommendations, ranking, moderation, agent workflows) using RAG pipelines, LLMs, open-weight models; optimize performance and collaborate with backend teams.
You design and deploy production AI features for recommendations, ranking, moderation, retrieval, agent workflows, and player-facing experiences. You develop RAG pipelines, work with LLMs and open-weight models, create evaluation frameworks, optimize inference and retrieval performance, and collaborate with backend and infrastructure engineers.
Responsibilities
- Design and deploy AI-powered product features
- Build recommendation, ranking, moderation, and agent systems
- Develop and optimize RAG pipelines
- Work with LLM ecosystems and open-weight models
- Design evaluation frameworks and testing pipelines
- Optimize inference, retrieval, and deployment performance
- Collaborate with backend and infrastructure teams
Requirements
- 5+ years of engineering experience
- 3+ years building applied ML/AI systems in production
- Python
- PyTorch or JAX
- LLMs
- RAG
- Agent systems
- Vector databases
- Retrieval systems
- Model evaluation
- Deployment strategies
- Inference optimization
- Recommender systems
- MLOps
- AI safety
- Red-teaming
Benefits
- 24 days annual leave
- Public holidays
- Health insurance
- Performance-based incentives