[Hiring] AI Engineer @Bridgeway Benefit Technologies

Role Description

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. A successful AI Engineer is a strong builder with a growing background in production software development and the kind of engineering judgment that turns architectural patterns into reliable working systems. This is a remote position with preference given to East Coast candidates.

Responsibilities

• Contribute to the technical direction for AI-enabled systems at Bridgeway, in partnership with senior engineers and the architecture team.
• Participate in design reviews for AI-adjacent features and incorporate feedback from senior engineers and architects.
• Build production-quality Python services, pipelines, and integrations that apply LLMs and retrieval to concrete internal and product problems.
• Integrate LLM APIs into existing systems, following established guidance on model selection, cost profile, and failure-handling for each use case.
• Ensure AI capabilities correctly honor schema-per-tenant and PHI-boundary patterns within our multi-tenant model, partnering with the data team that owns those patterns.
• 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 that help engineers ship AI-touching features consistently and safely.
• Help evaluate emerging AI tools and provide input on build-vs-buy decisions anchored in Bridgeway's technical, cost, and compliance context.
• Build AI implementations that comply with HIPAA, SOC 2, and NIST.
• Maintain documentation of AI systems, data flows, and risk assessments sufficient for audit and compliance review.
• Collaborate with engineering, product, customer success, security, data, and operations to identify automation opportunities.
• Participate in the operational quality and on-call rotation for AI systems.
• Track cost, quality, and adoption metrics for AI systems in production and report outcomes to your manager, the architecture team, and the team leads.
• Apply best practices in enterprise AI-integration and share knowledge with peers.

Qualifications

• 3–5 years of software engineering experience, with at least one year working on AI- or ML-backed systems.
• 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 including familiarity with enterprise data architectures such as Databricks and Azure/AWS.
• Strong written and verbal communication.
• 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 and deliver high-quality outcomes.
• Production experience in a regulated industry, with practical familiarity with HIPAA, SOC 2, or NIST.
• Bachelor's or master's degree in Computer Science, Engineering, Data Science, or related field.

Company Description

Bridgeway is an Equal Opportunity Employer.