AI Engineer
Brooklyn Sports & Entertainment · Brooklyn, NY · 2 mo ago
Engineering$125k–$150k/yrFull-time
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:
- 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.
- 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, 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.