AI Engineer - Bridgeway Benefit Technologies

Bridgeway is seeking an AI Engineer to help build and operate large language model and intelligent automation capabilities across our products and internal tooling. The AI Engineer will implement production systems against the patterns and reference implementations set by our architecture team, contribute to design discussions, and partner with senior engineers to ship reliable AI-enabled features.

This is a hands-on engineering role focused primarily on building. We are seeking a technically curious individual who brings solid Python experience and a pragmatic approach to AI-enabled capabilities.

Responsibilities

• Contribute to the technical direction for AI-enabled systems at Bridgeway, partnering with senior engineers and the architecture team.
• Participate in design reviews for AI-adjacent features and incorporate feedback from architects and senior engineers.
• Build production-quality Python services, pipelines, and integrations applying LLMs and retrieval to concrete internal and product problems.
• Integrate LLM APIs into existing systems, following guidance on model selection, cost profile, and failure-handling.
• Ensure AI capabilities correctly honor schema-per-tenant and PHI-boundary patterns within our multi-tenant model.
• Partner with the data and analytics team to integrate retrieval- and LLM-backed features into the lakehouse and analytics layer.
• Contribute to prompt libraries, evaluation frameworks, reference implementations, and reusable components.
• Evaluate emerging AI tools and provide input on build-vs-buy decisions anchored in technical, cost, and compliance context.
• Build AI implementations complying with HIPAA, SOC 2, and NIST — with attention to PHI handling, data residency, audit logging, and BAA coverage.
• Maintain documentation of AI systems, data flows, and risk assessments for audit and compliance review.
• Collaborate across engineering, product, customer success, security, data, and operations to identify automation opportunities.
• Participate in the operational quality and on-call rotation for AI systems, including incident response and observability.
• Track cost, quality, and adoption metrics for AI systems in production.

Qualifications

• 3–5 years of software engineering experience, with at least 1 year working on AI- or ML-backed systems, including contributions to at least one production LLM-backed system.
• Working knowledge of programmatic LLM orchestration, evaluation frameworks, and agent and tool-using systems.
• Strong Python skills for production services, data pipelines, and integration work.
• Experience building retrieval-augmented systems with enterprise data architectures like Databricks and Azure/AWS.
• Strong written and verbal communication skills.
• Familiarity with CI/CD, infrastructure-as-code, and MLOps practices for AI/ML systems.
• Experience using generative AI tools such as Claude and Copilot to improve productivity.
• Production experience in a regulated industry with HIPAA, SOC 2, or NIST (preferred).
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.