AI Engineer

Brooklyn Sports & Entertainment•New York, NY

16d•$125,000 - $150,000•Onsite

About The Position

Brooklyn Sports & Entertainment creates bold, authentic, and unforgettable experiences that redefine sports, entertainment, and hospitality, The Brooklyn Way. As the parent company of marquee properties including the Brooklyn Nets, NY Liberty and Barclays Center, Brooklyn Sports & Entertainment operates at the intersection of live entertainment, premium hospitality, and community engagement. As it expands its existing portfolio, Brooklyn Sports & Entertainment now includes a media portfolio including BK Mag, as well as Brooklyn Wine Club, and a hospitality business developing several location-based entertainment properties. Whether on the court, on stage, or in the workplace, Brooklyn Sports & Entertainment is driven by a pursuit of excellence—constantly evolving, innovating, and pushing boundaries to elevate its business and expand its fan base. The company is deeply committed to fostering a culture of belonging and inclusion, ensuring that every interaction reflects its values of growth mindset, integrity, accountability and care. We are guided by our core values: Integrity: Be intellectually honest at all times. Demonstrate the highest professional and ethical standards. Care: Care for everything and everyone around us. Practice empathy, respect, and inclusion to promote an environment of excellence and success. Growth Mindset: Develop ourselves and those around us. Experiment, learn, and improve from everything we do. Accountability: Deliver on our word, take responsibility for our actions, and work in the interest of our team. SUMMARY The AI Engineer builds agent-based systems and intelligent workflows that power Brooklyn Sports & Entertainment’s AI platform. This role focuses on developing agentic applications that automate business workflows across ticketing, venue operations, partnerships, HR, and internal development processes. Working primarily within an AWS and Amazon Bedrock environment, the AI Engineer builds agent workflows using frameworks such as LangGraph and contributes to the organization’s internal CodeAI platform for AI-assisted development. The team operates with shared responsibility for building and operating AI systems in production. Engineers participate in development, deployment, monitoring, and incident response while maintaining deeper expertise in their focus areas. This role reports into the VP, Artificial Intelligence.

Requirements

2–5 years of software engineering experience building production systems.
Strong programming experience with Python or TypeScript.
Familiarity with AWS cloud services and API-driven applications.
Experience working with LLM APIs or AI frameworks.
Exposure to agent frameworks such as LangGraph or similar orchestration tools.
Familiarity with Amazon Bedrock or other LLM platforms.
Experience using AI-assisted development tools such as Codex, Cursor, or Claude Code.

Nice To Haves

You enjoy turning complex workflows into reliable automation.
You are curious about emerging AI technologies and continuously experiment with new tools and frameworks.
You demonstrate a strong growth mindset and actively learn as the AI ecosystem evolves.
You thrive in fast-moving environments where experimentation and iteration are encouraged.
You take ownership of the systems you build and are comfortable supporting them in production.

Responsibilities

Design and build agent-based workflows that automate internal processes across departments such as ticketing, partnerships, HR, digital products, and venue operations. Examples of workflows include but are not limited to: A Ticketing Meeting Preparation Agent that gathers relevant sales insights, CRM data, and historical context to help ticketing teams prepare for client meetings. Early prototypes of a Generalized "AI Coworker" agent capable of assisting teams across departments with research, reporting, and operational tasks.
Develop agent orchestration patterns using LangGraph and Amazon Bedrock.
Build integrations with systems such as Salesforce, internal APIs, analytics dashboards, and operational data platforms.
Implement reliable tool-calling patterns that allow agents to safely execute operational tasks.
Build CodeAI agents that support engineering workflows including code generation, test creation, documentation, debugging, and pull request analysis.
Work with AI-assisted developer tools including, Codex, Cursor, Claude Code, Claude Code agents.
Contribute to internal AI-assisted development pipelines and guardrails for “vibe coding.”
Participate in deployment, monitoring, and incident response for AI systems.
Improve agent reliability through evaluation pipelines, observability metrics, and tool-call success monitoring.
Collaborate with the LLMOps Engineer to ensure workflows meet operational reliability standards.