Applied AI Engineer

Bjak · Remote · Poland ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Applied AI Engineer
  • Python + PyTorch
  • LLM integration
  • Production focus
  • Small elite team

Join A1 to develop AI-native applications that reduce time spent on emails, notes, and tasks by over 90%. As an Applied AI Engineer, you will own problems end-to-end, from shaping model behavior to ensuring reliable performance in production. The team focuses on high reliability for persistent context and multi-step reasoning, moving beyond demos to practical user benefits.

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, infra, and UX
  • 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, iteration, and improvement

Stack

  • Python
  • PyTorch
  • JAX
  • LLMs
  • vLLM
  • Vector DB

Hiring process

  • Technical team evaluates applications
  • Three to four interviews maximum
  • Virtual meetings or onsite options
  • Prompt decision after final interview