AI (PRODUCT) Engineer

Role Summary
This position involves developing and maintaining production-level decisioning and data processing systems within a highly rules-driven enterprise environment. The role requires hands-on engineering expertise in Python, data pipelines, and enterprise AI deployment, with a focus on scalable, reliable, and maintainable solutions. It is ideal for professionals experienced in integrating AI technologies and building complex workflows in cloud-based platforms.

Responsibilities

• Translate complex business rules and domain logic into clean, testable decisioning systems.
• Design, develop, and support scalable Python-based data processing and decision pipelines utilizing Databricks, PySpark, and Pandas.
• Build and maintain enterprise data workflows within the Databricks platform, ensuring efficiency and reliability.
• Integrate internal and external APIs with robust error handling, retries, and fault tolerance.
• Develop modular components suitable for orchestrated, production-grade workflows.
• Incorporate enterprise AI and Large Language Model services, including Azure AI Foundry and OpenAI, as needed, with appropriate prompt and template configurations.
• Apply data security and compliance standards, including PII handling, input/output validation, and structured logging.
• Implement monitoring, logging, and troubleshooting strategies to support production environments.
• Participate in version control activities including branching, code reviews, and conflict resolution using Git.
• Support and troubleshoot live production systems to ensure operational stability.

Qualifications

• Extensive hands-on experience with Python engineering for enterprise data and decision systems.
• Proven expertise with Databricks for data engineering and production pipeline development.
• Experience with Azure AI Foundry and deploying enterprise AI solutions.
• Advanced skills in PySpark and Pandas.
• Demonstrated experience in implementing rule-based decision logic and decision systems.
• Familiarity with integrating OpenAI, LLMs, and AI-assisted workflows in enterprise applications.
• Solid understanding of Git-based development workflows.
• Practical experience with Azure DevOps, CI/CD pipelines, and deployment monitoring.
• Proven ability to support and troubleshoot enterprise production environments.
• In compliance with federal law, all persons hired must verify their identity and eligibility to work in the United States and complete the required employment eligibility verification form upon hire. Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Publishing Pay Range: $74.31 - $77.68 Hourly
This is a fully remote role and can be performed from an approved location.