Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases, and develop next generation of machine learning and AI-based services for GoFundMe
Requirements
- 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
- Extensive experience designing, developing, and operating scalable backend systems, applying software engineering best practices
- Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
- Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
- Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
- Proficient in Python and provisioning cloud-based infrastructure via code (AWS preferred)
Responsibilities
- Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
- Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
- Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
- Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
- Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
- Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Other
- Have a Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)
- Are an excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
- Exhibit strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
- Must be located in the San Francisco, Bay Area with an in-office requirement of 3x a week
- Sense of humor is optional but appreciated
