Senior Software Engineer II Applied AI
Listed on 2026-11-01
-
Software Development
AI Engineer (Applied/Software), Software Engineer, Backend Developer, Machine Learning/ ML Engineer
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 Wndr Co, 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 Lang Graph that automate multi-step workflows for internal teams across Wrapbook
Deploy, run and scale agents on Amazon Bedrock Agent Core, 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, Type Script/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
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).