Senior Software Engineer II Applied AI

MinutePay Inc.; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Wrapbook in the United States is seeking a Senior Software Engineer II, Applied AI to join the Agentic Systems team, building AI agents that automate workflows for internal teams across Wrapbook. You’ll partner with Marketing, Sales, Support, Operations and Finance to identify high‑leverage processes and translate them into agent‑driven solutions that take real work off their plates.

You’ll design and ship production‑grade AI agents with LangGraph, deploy on Amazon Bedrock AgentCore, and build

Qualifications

• 6+ years back-end software development experience.
• Experience shipping systems with a focus on security, scalability and performance.
• Hands-on with AI/LLM powered agents and workflows.

Responsibilities

• Design and build production-grade AI agents to automate multi-step workflows.
• Deploy and scale agents on Bedrock, ensuring security and cost awareness.
• Collaborate with internal teams to identify high-impact workflows and translate them into agent-driven solutions.
• Integrate agents with internal systems and third-party tools.
• Develop observability, guardrails and patterns to ship reliably.

Skills

Python

TypeScript/Node.js

Java

LLM-powered agents

Tools

LangGraph

Amazon Bedrock

Job description

Job Description

About Us:

Wrapbook is the AI platform for production finance. Weâre building a system of action that puts finance teams in control of their whole production, from payroll, to spend, to accounting.

Built for feature films, TV, and commercials, Wrapbook is trusted by teams at Netflix, Paramount, Anonymous Content, and more. With backing from Andreessen Horowitz, Bessemer Venture Partners, and Jeffrey Katzenberg's WndrCo, our team of 350+ is using AI to transform how finance teams work and empower them to do more with less.

The Opportunity: Senior Software Engineer II, Applied AI (Remote - USA / Canada)

We are looking for a Senior Software Engineer II, Applied AI to join our Agentic Systems team, where you'll build AI agents that automate workflows for teams across Wrapbook. You'll partner directly with internal teams like Marketing, Sales, Support, Operations and Finance to find high-leverage processes, then design, ship and iterate on agents that take real work off their plates. This is a chance to define how a 400+ person company runs on AI. You'll see the impact of your work every day, while shaping the patterns, tools and standards for how we build agents at Wrapbook.

What Youâll Do:

Design and build production-grade AI agents with LangGraph that automate multi-step workflows for internal teams across Wrapbook

Deploy, run and scale agents on Amazon Bedrock AgentCore, using its runtime, memory, identity and gateway capabilities to make them secure and reliable, while tracking what they cost to run and keeping it efficient as usage grows

Partner with internal teams to find high-impact workflows, draw out requirements from people who can't hand you a spec, and turn them into agent-driven solutions, explaining clearly what each agent can and can't reliably do

Integrate agents with Wrapbook's internal systems, APIs and third-party tools so they can take real actions, not just answer questions

Build evaluation, observability and guardrail frameworks to measure agent quality, catch failures and keep humans in the loop where it matters

Establish reusable patterns, shared tools and best practices that let the Agentic Systems team ship new agents quickly and consistently

Own agents end to end, from prototype to production, measuring their impact on the teams they serve and iterating based on usage data and feedback

Drive adoption through clear documentation, training and enablement, so teams understand what each agent does, trust it and know how to get the most from it

What Youâll Have:

6+ years of back-end development experience with Python, TypeScript/Node.js or Java, with a track record of delivering systems built for security, scalability, availability and performance

Hands-on experience building and shipping LLM-powered agents or workflows (with models such as Claude, GPT, Llama or Mistral), including prompting, tool use and structured outputs. You can walk us through one you built: how it was designed, what br