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About the Role

The Large Language Model Ops (LLMOps) Engineer ensures Brooklyn Sports & Entertainment’s AI systems are safe to run in production and evolve over time. This role builds and operates the infrastructure that powers the company’s AI platform, including deployment pipelines, evaluation systems, observability tooling, and infrastructure for agent-based workflows, primarily within AWS and Amazon Bedrock.

Responsibilities

• Design and operate the AWS-based infrastructure foundation for AI and agent systems.
• Manage integrations with Amazon Bedrock and other model providers.
• Implement secure environment configuration, secrets management, and infrastructure policies.
• Build scalable systems capable of supporting ongoing operations.
• Build and maintain CI/CD pipelines for AI systems, including deployment of prompts, models, and agent workflows.
• Implement versioning for models, prompts, and LangGraph agent graphs.
• Design environment promotion standards and automated rollback mechanisms.
• Design and operate the CodeAI development pipeline, enabling AI agents to assist with software development tasks.
• Build sandboxed environments allowing AI agents to safely interact with repositories, CI systems, and development workflows.
• Establish governance and security guardrails for AI-assisted development and vibe coding practices.
• Implement monitoring systems using AWS CloudWatch and evaluation dashboards.
• Define Service Level Objectives (SLOs) for AI system reliability.
• Build shared evaluation infrastructure that measures hallucination rates, tool-call success, and workflow reliability.
• Monitor and optimize cost-per-request metrics.
• Participate in deployment, monitoring, and incident response for AI systems.
• Develop operational playbooks that reduce mean time to recovery and improve system resilience.

Requirements

• 3–6 years of experience working in DevOps, MLOps, or infrastructure engineering roles.
• Strong experience operating AWS cloud infrastructure.
• Experience deploying and operating AI or machine learning systems in production environments.
• Experience with Amazon Bedrock or similar LLM platforms.
• Experience building CI/CD pipelines and automated deployment systems.
• Experience implementing observability systems and operational dashboards.
• You enjoy building systems that make complex technology safe and reliable to operate.
• You are motivated by operational excellence and reliability engineering.
• You demonstrate a strong growth mindset and actively learn new technologies as the AI ecosystem evolves.
• You enjoy experimenting with new technologies while maintaining production-quality standards.
• You collaborate closely with engineers building AI applications to ensure systems scale safely.

Skills

• AWS
• Amazon Bedrock
• CI/CD pipelines
• Observability systems
• CloudWatch
• LangGraph

Location

• Office environment

Work Type

• Full-time

Experience Level

• 3-6 years

Salary/Compensations

• $130,000 - $150,000

Benefits

• 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

About the Company

• 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 BK Mag, 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, both internally and across its communities, ensuring that every interaction reflects its values of growth mindset, integrity, accountability and care.
• Core values: Integrity, Care, Growth Mindset, Accountability.

Equal Opportunity

• 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.