AI Engineer

AI Engineer

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 Lang Graph 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.

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:
• 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 Lang Graph 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.

CodeAI Development Agents

• 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, and 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 Type Script.
• Familiarity with AWS cloud services and API-driven applications.
• Experience working with LLM APIs or AI frameworks.
• Exposure to agent frameworks such as Lang Graph 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:

• Bonus eligibility
• 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.