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BJAK

Applied AI Engineer

BJAK

Applied AI Engineer focused on actionable AI product behavior for a proactive AI system. Collaborate with engineers to translate model behavior into customer solutions.

Posted 4/15/2026full-time🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact
  • Build and ship AI features end-to-end (model → system → user experience)
  • Design and iterate on prompts, tools, memory, and agent workflows
  • Turn raw model outputs into structured, reliable, and predictable behaviors
  • Debug issues across the full stack (model, orchestration, infra, UX)
  • Optimize for latency, cost, and production reliability
  • Develop lightweight evaluation frameworks to measure real-world performance
  • Collaborate effectively with engineers, product, and research teams to deliver reliable ML-powered features.

Requirements

What you’ll need
  • Strong foundation in machine learning and modern neural network architectures
  • Hands-on experience with training, fine-tuning, or deploying ML models
  • Ability to write clean, production-quality code
  • Comfort working across abstraction layers (model → infra → product)
  • Strong problem-solving skills in ambiguous, fast-moving environments
  • Bias toward shipping, iteration, and continuous improvement.

Benefits

Comp & perks
  • A proactive AI system that understands context across conversations, plans actions, and carries work forward over time
  • Work closely with product and engineering to translate ambiguous problems into working systems
  • Join small, world-class teams that make decisions collectively and strike a balance between shipping high-quality work and learning.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningneural network architecturestraining ML modelsfine-tuning ML modelsdeploying ML modelsproduction-quality codeevaluation frameworksdebuggingoptimizationfull stack development
Soft Skills
problem-solvingcollaborationiterationcontinuous improvementadaptability