Productize and integrate LLM and Agent AI solutions into PBG business systems
Evaluate, benchmark, and select LLMs for enterprise use cases
Develop backend APIs using Python and /or C#
Lead and enhance DevOps practices, including automation of AI/ML pipelines
Deploy and operate containerized, microservices-based applications using Kubernetes
Support CI/CD and production deployment of AI-enabled systems
Requirements
Bachelor's Degree with 3+ years of relevant experience, master's degree with 2+ years of relevant experience, or PhD with 1+ years of relevant experience in Computer Science, Data Science, or any related STEM discipline.
2+ years of experience with the following technical skills: Hands-on experience with DevOps, containers, and Kubernetes
Experience with LLM evaluation, Agent AI, and backend API development
Experience managing SQL/NoSQL databases via DBaaS
Experience with Linux and virtualization
Tech Stack
Kubernetes
Linux
Microservices
NoSQL
Python
SQL
Benefits
Competitive pay
Stock bonuses
Benefit programs which include health, retirement, and vacation