Applied AI Engineer
Bjak · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Python + PyTorch
- LLM engineering
- End-to-end ownership
- Small team
Actai is building intelligent applications for email, notes, and calendars that operate without complex prompting. The team focuses on high reliability for long-running workflows and real-world task completion.
As an Applied AI Engineer, you will bridge machine learning, systems, and product. You will own the full lifecycle of AI features, ensuring they perform reliably in production rather than just in demos.
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, infra, and product layers
- Strong problem-solving skills in ambiguous environments
- Bias toward shipping and continuous improvement
Stack
- Python
- PyTorch
- JAX
- LLMs
- vLLM
- Vector DB
Hiring process
- Technical team evaluates applications
- Three to four interviews maximum
- Virtual meetings or onsite interviews
- Prompt decision after final interview