Applied AI Engineer
Bjak · Remote · Zurich, Switzerland ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Python + PyTorch
- LLM integration
- Senior level
- Product-focused AI
Actai is building intelligent applications for email, notes, and calendars that require little to no prompting. As an Applied AI Engineer, you will bridge machine learning, systems, and product to make AI work reliably in production. You will own the full lifecycle from shaping model behavior to ensuring performance in real-world usage.
What you'll do
- Build and ship AI features from model to user experience
- Design prompts, tools, memory, and agent workflows
- Convert raw model outputs into structured behaviors
- Debug issues across model, orchestration, and infrastructure
- Optimize systems for latency, cost, and reliability
- Develop evaluation frameworks for real-world performance
- Translate ambiguous problems into working systems
What you'll need
- Strong foundation in machine learning and neural networks
- Experience training, fine-tuning, or deploying ML models
- Ability to write clean, production-quality code
- Comfort working across model, infrastructure, and product layers
- Strong problem-solving skills in fast-moving environments
- Bias toward shipping and continuous improvement
Stack
- Python
- PyTorch
- JAX
- LLMs
- vLLM
- Vector DB
Hiring process
- Technical team evaluates applications
- Three to four virtual or onsite interviews
- Prompt decision following final interview