Applied AI Engineer
Bjak · Remote · Portugal ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Python + PyTorch
- LLM integration
- End-to-end ownership
- Small elite team
Actai is building intelligent applications for email, notes, and calendars that require little to no prompting. The team focuses on reducing hallucinations and achieving high reliability for long-running workflows and persistent context.
As an Applied AI Engineer, you will bridge machine learning, systems, and product. You will own problems from shaping model behavior to ensuring production reliability, making AI work effectively in real-world usage rather than just demos.
What you'll do
- Build and ship AI features from model to user experience
- Design and iterate on prompts, tools, memory, and agent workflows
- Convert raw model outputs into structured and predictable behaviors
- Debug issues across model, orchestration, infrastructure, and UX layers
- Optimize systems for latency, cost, and production reliability
- Develop evaluation frameworks to measure real-world performance
- Translate ambiguous problems into working systems with product teams
What you'll need
- Strong foundation in machine learning and neural network architectures
- Hands-on experience training, fine-tuning, or deploying ML models
- Ability to write clean, production-quality code
- Comfort working across model, infrastructure, and product abstraction layers
- Strong problem-solving skills in ambiguous and fast-moving environments
- Bias toward shipping, iteration, and continuous improvement
Stack
- Python
- PyTorch
- JAX
- LLMs
- vLLM
- Vector DB
Hiring process
- Technical team evaluates applications
- Three to four interviews maximum
- Interviews conducted via virtual meetings or onsite
- Prompt decision process valued for transparency