AI Engineer
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Job Description
AI Engineer building production LLM services and intelligent automation for Bridgeway Benefit Technologies. Integrating retrieval, analytics, and secure AI capabilities across benefits products and internal tooling.
Responsibilities:
- Contribute to the technical direction for AI-enabled systems in partnership with senior engineers and the architecture team
- Participate in design reviews for AI-adjacent features and incorporate feedback
- Build production-quality Python services, pipelines, and integrations applying LLMs and retrieval to internal and product problems
- Integrate LLM APIs into existing systems using guidance on model selection, cost profile, and failure handling
- Ensure AI capabilities honor schema-per-tenant and PHI-boundary patterns within the 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
- Help evaluate emerging AI tools and provide input on build-vs-buy decisions
- Build AI implementations compliant with HIPAA, SOC 2, and NIST, including PHI handling, data residency, audit logging, BAA coverage, prompt-injection defenses, DLP, model access governance, and secrets handling
- Maintain documentation of AI systems, data flows, and risk assessments for audit and compliance review
- Collaborate with engineering, product, customer success, security, data, and operations to identify automation opportunities and contribute to the AI roadmap
- Participate in operational quality and on-call rotation, including incident response, post-incident learning, observability, and feedback loops
- Track cost, quality, and adoption metrics for production AI systems and report outcomes to management, the architecture team, and team leads
- Apply enterprise AI integration best practices and share knowledge with peers
Requirements:
- 3–5 years of software engineering experience, with at least one year working on AI- or ML-backed systems, including contributions to at least one LLM-backed system in production
- Working knowledge of programmatic LLM orchestration, evaluation frameworks, and agent and tool-using systems, including exposure to securely connecting enterprise APIs to agentic 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, and with multi-tenant SaaS data isolation and identity/access patterns for B2B platforms (preferred)
- Bachelor's or master's degree in Computer Science, Engineering, Data Science, or related field
Benefits:
- Remote position
- Equal Opportunity Employer
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