Requirements

• Proficiency in Python and at least one additional modern programming language (e.g., Golang or TypeScript)
• Experience building and supporting production software in a large enterprise environment
• Experience designing, developing, and maintaining APIs and backend services, including concurrency concepts
• Experience creating secure, high-quality code, including reviewing and debugging code written by others
• Experience with continuous integration and continuous delivery practices
• Experience applying security and resiliency practices in software delivery
• Experience building or supporting data pipelines for analytics, model evaluation, and training with appropriate controls (versioning and validation)
• Experience with large language model application patterns, including retrieval-augmented generation and prompt design

Nice to Haves

• Experience delivering AI or machine learning products end to end, from development through deployment and ongoing support
• Experience partnering closely with research scientists and data engineers to productionize models and workflows

What You'll Be Doing

• Collaborate with data scientists and machine learning engineers to deliver AI products into production
• Design, develop, deploy, and maintain full stack AI applications and services
• Build and maintain data pipelines for analytics, model evaluation, and training, including versioning, compliance, and validation
• Create secure, high-quality production code and conduct code reviews and debugging for code written by others
• Troubleshoot complex technical problems and implement creative software solutions beyond routine approaches
• Maintain algorithms and services that integrate with dependent systems reliably and efficiently
• Identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture
• Provide technical guidance and direction to support the business and partner technical teams
• Contribute to an agile team environment with a focus on secure and resilient delivery
• Promote a team culture of diversity, opportunity, inclusion, and respect