About the Role
Lead the design and implementation of scalable generative AI solutions, mentor engineering talent, and drive technical strategy for LLM-powered products in a distributed environment.
Responsibilities
- Direct the architecture and deployment of production-grade LLM applications
- Oversee model fine-tuning, evaluation, and integration pipelines
- Guide best practices in prompt engineering and inference optimization
- Lead code reviews and ensure software quality across AI components
- Collaborate with research teams to transition prototypes into scalable services
- Define technical roadmaps for generative AI feature development
- Mentor machine learning engineers and software developers
- Evaluate emerging AI frameworks and tooling for adoption
- Ensure compliance with data privacy and model governance standards
- Drive automation of training and deployment workflows
- Coordinate with product teams to align AI capabilities with user needs
- Troubleshoot performance bottlenecks in distributed model serving
- Maintain documentation for model versions and system behavior
- Promote reproducibility and version control in ML pipelines
- Foster a culture of experimentation and technical rigor
Nice to Have
- PhD in machine learning, computer science, or related discipline
- Contributions to open-source AI projects or research publications
- Experience with multimodal generative models
- Background in building developer-facing AI APIs
- Prior work in startup or fast-moving technical environments
Compensation
Competitive salary and equity package aligned with experience level and market standards.
Work Arrangement
Fully remote with expectation to collaborate across European time zones; base location must be in Andorra.
Team
Part of a lean, high-velocity AI engineering team focused on cutting-edge language models and generative systems.
Tech Stack
- Primary languages: Python, TypeScript
- Frameworks: PyTorch, Hugging Face Transformers, LangChain
- Infrastructure: Kubernetes, Docker, AWS/GCP
- MLOps: Weights & Biases, MLflow, Kubeflow
Remote Work Policy
- Fully remote role with core collaboration hours aligned to Central European Time
- Annual team retreats in Europe for in-person planning and bonding
- Stipend provided for home office setup and internet costs
Not applicable; candidates must be legally based in Andorra.
