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Wrapbook

Cloud-based entertainment payroll and production management

Senior Software Engineer 2 - Applied AI

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA$206k - $283.5k /yrHybrid

About the Job

Requirements

  • Have at least 6 years of back-end development experience with Python, TypeScript/Node.js, or Java, and a track record of delivering systems designed for security, scalability, availability, and performance.
  • Have hands-on experience building and shipping LLM-powered agents or workflows, including prompting, tool use, and structured outputs, and be able to discuss their design and how failures were addressed.
  • Have production experience with at least one agent or LLM framework and a solid understanding of AI architectures such as retrieval-augmented generation, reranking, and multi-agent orchestration.
  • Apply a security-first mindset to data access, permissions, and failure modes, especially for agents that can take real actions.
  • Have product sense and communication skills to work with non-technical teams, understand their workflows, and turn them into reliable automation.
  • Be comfortable with ambiguity and able to take a loosely defined problem from idea to production independently.
  • Be currently authorized to work in the United States; employment visa or work permit sponsorship is unavailable.

Responsibilities

  • Design and build production-grade AI agents with LangGraph to automate multi-step workflows for internal teams.
  • Deploy, operate, and scale agents on Amazon Bedrock AgentCore, using its runtime, memory, identity, and gateway capabilities to ensure security and reliability; monitor operating costs and efficiency as usage grows.
  • Partner with internal teams to identify high-impact workflows, elicit requirements, turn them into agent-driven solutions, and explain agent capabilities and limitations.
  • Integrate agents with internal systems, APIs, and third-party tools so they can take actions.
  • Build evaluation, observability, and guardrail frameworks to measure agent quality, detect failures, and keep humans involved where appropriate.
  • Establish reusable patterns, shared tools, and best practices for consistent agent delivery.
  • Own agents from prototype through production, measure their impact, and iterate based on usage data and feedback.
  • Drive adoption through documentation, training, and enablement so teams understand and use agents effectively.

Desired Qualifications

  • Experience running AWS workloads in production and designing for, deploying on, and using Amazon services, ideally including Amazon Bedrock AgentCore.
  • Experience with LangGraph specifically.

About the Company

Wrapbook

Cloud-based entertainment payroll and production management

Wrapbook provides a cloud-based payroll and production management platform for the entertainment industry. It streamlines payroll by letting users collect timecards through a mobile app and generating smart timecards that account for pay rates, overtime, and union rules to stay compliant. The platform also stores project documents and manages cast, crew, and vendor information in one place. It integrates with QuickBooks for seamless accounting and reduces administrative work by automating data flow between payroll, accounting, and production tasks. Revenue comes from fees charged for payroll and production management services, typically based on users or transactions. The company's goal is to help film and TV productions stay compliant and save time on payroll and paperwork by providing fast, digital, and secure tools.

Company size
201-500
Company stage
Late Stage VC
Total funding
$150.5M
Headquarters
New York City, New York
Founded
2018

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