Applied AI Engineer

BJAK

Applied AI Engineer working on AI-powered features that integrate into insurance workflows. Part of a global team focused on delivering reliable AI systems for real-world applications.

Posted 6/28/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI Feature DevelopmentModel EvaluationExperimentationA/B TestingData Analysis

Soft Skills

CollaborationCritical ThinkingAdaptability