Applied AI Engineer

BJAK

Applied AI Engineer developing AI features for real-world insurance workflows. Collaborating in a fully remote global team to optimize insurance management processes.

Posted 6/28/2026full-timeRemote • 🇨🇭 SwitzerlandMid-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
Work closely with product and engineering to translate ambiguous problems into working systems

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

Our product focuses on achieving high reliability for long-running workflows
Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features
Iterations on models and systems are driven by real-world signals and measurable improvements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningNeural Network ArchitecturesModel TrainingModel Fine-TuningModel DeploymentProduction-Quality CodeSystem OptimizationEvaluation FrameworksDebuggingUser Experience Design

Soft Skills

Problem-SolvingAdaptabilityCollaborationContinuous ImprovementIteration