AI Engineer

Bkse; New York (NY); Hybride; USD 125 000 - 150 000; Plein temps

Avantages offerts par ce poste

Medical, dental, and vision coverage

HSA and FSA eligibility

4% 401k Employer Match

Competitive PTO & Holidays

Parental leave after 6 months

Access to Barclays Center events

Free lunch onsite Mon-Thu

Onsite barista bar

Résumé du poste

Brooklyn Sports & Entertainment is seeking an AI Engineer to build agent-based systems powering its AI platform. You will design workflows automating ticketing, venue ops, partnerships, HR, and development tasks within an AWS Bedrock environment.

You will create AI assistants, integrate with Salesforce and internal systems, and push robust production tooling with guardrails for reliable, scalable automation.

Qualifications

• 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.

Responsabilités

• Design and build agent-based workflows that automate internal processes across departments.
• Develop a Ticketing Meeting Preparation Agent with CRM data and historical context.
• Prototype generalized AI coworker agent for research, reporting, and tasks.
• Develop agent orchestration patterns using LangGraph and Amazon Bedrock.
• Build integrations with Salesforce, internal APIs, analytics dashboards, and data platforms.
• Implement reliable tool-calling patterns for safe operation.
• Build CodeAI agents supporting engineering workflows: code generation, tests, docs, debugging.
• Collaborate on AI-assisted development pipelines and guardrails for vibe coding.
• Participate in deployment, monitoring, and incident response for AI systems.
• Improve agent reliability with observability metrics and pipelines; work with LLMOps Engineer.

Connaissances

Python

TypeScript

AWS

LLM APIs

LangGraph

Amazon Bedrock

Codex / Cursor / Claude Code

Description du poste

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.

WHAT YOU WILL DO

Agent Development for Business Workflows

• 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:
  • ATicketing Meeting Preparation Agent that gathers relevant sales insights, CRM data, and historical context to help ticketing teams prepare for client meetings.
  • Early prototypes of aGeneralized "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.

Agentic Coding

• BuildCodeAI 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.”

Shared Production Ownership

• 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.

WHAT YOU WILL BRING

• 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.

WHO YOU ARE

• 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.

COMPENSATION

$125,000 - $150,000 per year

Full-time employees are eligible for a robust slate of total rewards, including:

• Medical, dental, and vision coverage; HSA and FSA eligibility
• 401k Employer Match at 4%
• Competitive PTO policy & Company Holidays
• Parental leave policy eligible after 6 months of service
• Access to events at Barclays Center, subject to ticket availability
• Free lunch onsite Monday - Thursday; onsite barista bar
• And more!

WORK ENVIRONMENT

Works primarily in an office environment and may be expected to contribute additional hours to support system implementations.

We are an Equal Employment Opportunity (“EEO”) Employer. It has been and will continue to be a fundamental policy of the Company not to discriminate on the basis of race, color, creed, religion/creed, gender, gender identity, transgender status, pregnancy and lactation accommodations, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage, immigration, or citizenship status, veteran or military status, disability, genetic information, height and weight, arrest or conviction record, caregiver status, credit history, unemployment status, sexual and reproductive health decisions, salary history, status as a victim of domestic violence, stalking, and sex offenses, or any other characteristic prohibited by federal, state or local laws.