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Bjak

Applied AI Engineer

Bjak
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1 day ago
London, United KingdomMid Level / Senior

Responsibilities

  • Build AI-powered product features integrated into real insurance workflows.
  • Design and optimize LLM-based interactions across customer and internal systems.
  • Develop prompts, reasoning flows, and structured AI outputs for production use cases.
  • Evaluate model performance using real-world data, feedback loops, and experiments.
  • Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
  • Work closely with backend engineers to integrate AI capabilities into APIs and workflows.
  • Design and implement AI-driven automation features such as chat and recommendations.
  • Analyze user behavior and model responses to continuously improve AI performance.
  • Collaborate with product, design, and engineering teams to ship end-to-end AI features.
  • Contribute to AI system design decisions focused on usability and real-world impact.

Requirements

  • Strong software engineering background in production environments.
  • Experience working with LLMs such as OpenAI or Anthropic.
  • Familiarity with prompt engineering and structured outputs.
  • Experience building or integrating AI features into real products.
  • Strong understanding of API-based system integration.
  • Ability to evaluate AI outputs critically using data and user feedback.
  • Experience with experimentation, A/B testing, or evaluation frameworks.
  • Strong product sense and focus on user experience.
  • Comfortable working in fast-paced, globally distributed teams.

Benefits

  • Build AI-Powered Products that automate real-world insurance systems.
  • Collaborate within a Global Engineering Organization across multiple countries.
  • Make an International Impact with products used by millions.
  • Access a Learning & Development Budget for continuous growth.
  • Enjoy a High Ownership Culture with end-to-end responsibility for AI features.
  • Engage in Modern Engineering Practices focused on reliability and scale.
  • Experience Career Growth in a fast-moving AI product environment.
  • Receive Competitive Compensation with an attractive salary package.
  • Work Fully Remote with globally distributed teams.

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