AI Engineer: Agent Workflows & CodeAI on AWS

BSE Global; New York (NY); On-site; USD 125,000 - 150,000; Full time

Benefits offered by this job

Bonus eligibility

Medical, dental, vision coverage

401k match at 4%

Generous PTO & company holidays

Parental leave after 6 months

Free lunch onsite

Job summary

Brooklyn Sports & Entertainment is seeking an AI Engineer to design and implement agent-based workflows powering its AI platform and automating business processes across ticketing, venue operations, partnerships, HR, and internal development teams in an AWS Bedrock environment.

You will work with LangGraph, Amazon Bedrock, and AI-assisted development tools to build agentic solutions, contribute to production pipelines, and ensure reliable operation in a fast-paced environment.

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.

Responsibilities

• Design and build agent-based workflows that automate internal processes across departments such as ticketing, partnerships, HR, digital products, and venue operations.
• 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.

Skills

Python

TypeScript

AWS

LLM APIs

LangGraph

Bedrock

AI tools

Tools

LangGraph

Amazon Bedrock

Salesforce

Job description

Brooklyn Sports & Entertainment is seeking an AI Engineer to design and implement agent-based workflows powering its AI platform and automating business processes across ticketing, venue operations, partnerships, HR, and internal development teams in an AWS Bedrock environment.

You will work with LangGraph, Amazon Bedrock, and AI-assisted development tools to build agentic solutions, contribute to production pipelines, and ensure reliable operation in a fast-paced environment.