Lead the design and delivery of cloud-native Agentic AI applications
Fine-tune, evaluate, and deploy large language models in production environments
Balance performance, cost, and user experience
Establish evaluation and observability standards
Design frameworks and tools for AI-powered experiences
Collaborate with product managers, architects, developers, and data scientists

Requirements

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience
7+ years building cloud-native software in production
3+ years of hands-on experience of delivering AI/ML-powered system in production
Experience with MCP or similar standardized patterns
Experience with deploying and maintaining AI Applications in production reliably
Proficiency in Python/TypeScript/Java with strong engineering fundamentals

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

cloud-native softwarelarge language modelsAI/ML-powered systemsPythonTypeScriptJavaengineering fundamentalsMCPdeploymentobservability standards

collaborationleadershipcommunicationorganizational skillsuser experience balance

Bachelor's degreeMaster's degree