AI Engineer - Remote

• Bachelor’s degree in Science, Engineering, or quantitative fields (Mathematics, Statistics, Data Science, etc.), or equivalent experience, with at least 5 years deploying and supporting full-stack applications in enterprise environments, and several years of experience integrating AI, ML solutions into full-stack applications.
• Experienced in full-stack development (backend, frontend, and database technologies) with expertise in frameworks like React or Vue, and strong skills in Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices.
• Experienced in AWS services, particularly Bedrock, SageMaker, S3, Lambda, and infrastructure as code (CDK). Extensive experience applying software engineering design patterns and enterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications.
• Experienced in developing and deploying AI/ML systems, with expertise in GenAI application development, LLM integration, and AIOps, implementing responsible AI practices, and optimizing AI solutions for production performance.
• Strong communicator and collaborator, experienced at building partnerships in remote and ever-changing environments. Resilient and resourceful problem solver, proactive at overcoming obstacles to achieve goals. Comfortable with ambiguity and change, demonstrating high learning agility, adapting quickly to shifting priorities, and bringing clarity to undefined problems.
• You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do.
• Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico.

• Group Benefits or insurance industry experience.
• Advanced degree in an analytical field with proven in-depth AI knowledge.
• Experienced with AI/ML OPS practices, distributed data processing, and building real-time data pipelines and familiar with data mesh principles, and real-time analytics.
• Familiarity with single or multi-cloud agentic architecture for building LLM-based applications.
• AI engineer who can design and implement production-grade solutions across probabilistic and deterministic approaches (LLMs/classical ML/rules), including evaluation, orchestration, and integration into maintainable services.

We value diverse experiences, skills, and passion for innovation.

If your experience aligns with the listed requirements, please apply!

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