Applied AI Engineer, Work From Home

Applied AI Engineer Work From Home

We are looking for an Applied AI Engineer to design build and optimize AI-powered features that sit directly inside our product workflows.  The Applied AI Engineer role focuses on turning model capabilities into real product behavior where AI interacts with users supports decision-making and powers automation across insurance journeys.  This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable scalable AI-powered systems.  We have multiple openings for this position.  This position is 100% Remote.

Applied AI Engineer 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.

Applied AI Engineer Outcomes

- AI features are reliable consistent and production-ready across workflows.

- User-facing AI interactions are intuitive and improve task completion rates.

- Model outputs are measurable testable and continuously improving.

- AI-driven automation reduces manual work in insurance processes.

- Product teams can safely deploy AI features with controlled behavior.

Qualifications :

Applied AI Engineer Qualifications:

- 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.

- Tech Stack:  A/B Testing AI Artificial Intelligence Anthropic Evaluation Frameworks LLM APIs NoSQL OpenAI Open-Source Models Pinecone Prompt Engineering Frameworks Python REST APIs SQL Vector Databases and Weaviate.

Benefits include medical insurance Dental Vision Savings Plan Options PTO etc.

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Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time