Principal AI Engineer
Jump(2 months ago)
About this role
A Principal AI Engineer at Jump will design and build robust AI infrastructure and tools to enhance internal workflows and improve fan engagement across sports teams. This role involves architecting systems for model evaluation, developing automation tools for various departments, and championing AI adoption through training and demonstrations. Reporting to the CTO, the engineer will collaborate closely with leadership and engineering teams to ensure the scalability and reliability of AI solutions within the organization.
Required Skills
- AI Infrastructure
- Internal Tools
- AI Organizational Enablement
- Software Engineering
- Systems Architecture
- AI/ML Expertise
- Full Stack Development
- AI Systems
- Evaluation Frameworks
- Monitoring
+16 more
Qualifications
- 10+ years in software engineering or systems architecture
- 1+ years focused on AI/ML, LLMs, and agentic systems
- Deep technical expertise with modern AI systems and frameworks
- Proven experience building and deploying AI infrastructure
- Hands-on experience with vector databases, RAG systems, and context management for LLMs
- Strong proficiency in Python and TypeScript
- Familiarity with cloud infrastructure (AWS)
- Experience fine-tuning LLMs
About Jump
jump.comJump is a fan experience platform specifically designed for the sports industry, integrating ticketing, marketing, and fan data into a single system. By utilizing Jump, sports teams can enhance revenue opportunities, foster deeper fan relationships, and streamline operations. The platform has been developed with input from over 70 professional sports teams, allowing it to meet the unique needs of this sector effectively. Co-founded by notable figures in sports ownership, Jump aims to revolutionize the way teams engage with their fans and manage their businesses.