Applied AI Engineer
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Job Description
Applied AI Engineer developing AI features for real-world insurance workflows. Collaborating in a fully remote global team to optimize insurance management processes.
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 (chat, recommendations, decision support).
- 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 (OpenAI, Anthropic, or open-source models).
- Familiarity with prompt engineering, structured outputs, and tool use patterns.
- 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 - Work on real-world insurance automation systems.
- Global Engineering Organization - Collaborate across multiple countries.
- International Impact - Products used by millions across Southeast Asia and beyond.
- Learning & Development Budget - Support continuous AI and engineering growth.
- High Ownership Culture - Own AI features end-to-end.
- Modern Engineering Practices - Focus on real-world reliability and scale.
- Career Growth - Fast-moving AI product environment.
- Competitive Compensation - Attractive salary package.
- Fully Remote - Work remotely with globally distributed teams.
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