Brooklyn Sports & Entertainment
AI Engineer
About this role
Brooklyn Sports & Entertainment seeks an AI Engineer to build intelligent agent-based systems that automate business workflows across ticketing, operations, HR, and development. You'll work with AWS and Amazon Bedrock to create agentic applications using LangGraph and contribute to internal AI-assisted development tools.
What you'll do
- Design and develop agent-based workflows to automate processes across ticketing, partnerships, HR, and venue operations
- Build agent orchestration patterns using LangGraph and Amazon Bedrock with integrations to Salesforce and internal APIs
- Implement reliable tool-calling patterns for safe agent execution of operational tasks
- Develop CodeAI agents supporting engineering workflows including code generation, testing, and documentation
- Participate in deployment, monitoring, and incident response for AI systems in production
- Improve agent reliability through evaluation pipelines, observability metrics, and collaboration with LLMOps teams
What they're looking for
- Python or TypeScript programming
- AWS cloud services
- LLM APIs and AI frameworks
- LangGraph or agent orchestration tools
- Amazon Bedrock
- API integration and development
- Production systems design
- Incident response and monitoring
Opens the official application on the employer’s site. No login required.
Brooklyn Sports & Entertainment
Brooklyn Sports & Entertainment builds AI-powered platforms and software solutions that enhance decision-making and operations across its sports and entertainment properties. The company is hiring for AI infrastructure, full-stack development, analytics, and engineering roles focused on deploying production-ready AI systems, agentic applications, and operational tools used by coaches, scouts, and business teams.
View all jobs at Brooklyn Sports & EntertainmentLikely interview questions
- Tell us about a production AI or LLM system you've built. What frameworks did you use, and how did you handle reliability and monitoring?
- Describe your experience building agent-based workflows. What orchestration tools or frameworks have you worked with, and what challenges did you encounter?