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Senior Software Engineer, Applied AI

Join Wrapbook as a Senior Software Engineer to build AI agents that automate workflows across teams in a hybrid Seattle environment.

Location
Seattle, United States
Compensation
Not disclosed
Level
senior
Type
full time · Hybrid

Posted by employer 1 day ago

First seen on Joblaze 3 hours ago

Last verified on the company career page 3 hours ago

Apply at Wrapbook → Save job Scanned from wrapbook.com

What you'll build

  • Design and build production-grade AI agents
  • Deploy, run and scale agents on Amazon Bedrock AgentCore
  • Partner with internal teams to find high-impact workflows
  • Integrate agents with Wrapbook's internal systems
  • Build evaluation, observability and guardrail frameworks

Must have

  • 6+ years of back-end development experience with Python, TypeScript/Node.js or Java
  • Hands-on experience building and shipping LLM-powered agents or workflows
  • Production experience with at least one agent or LLM framework
  • A security-first mindset
  • Strong product sense and communication skills
  • Comfort with ambiguity and an ownership mentality

Nice to have

  • Experience running AWS workloads in production

AI in the day-to-day

You'll build AI agents that automate workflows for teams across Wrapbook.

Requirements

Experience
6+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

$1,500 USD towards IT set up for your home 2% matching RRSP / 401K Learning and Development Opportunities Unlimited Paid Time Off Health and Dental benefits $50 USD towards Internet/Cell phone service Remote Work

Joblaze summary

In this role, the Senior Software Engineer for Applied AI at Wrapbook focuses on designing and implementing AI agents that automate workflows for various internal teams. Key skills include back-end development with Python, TypeScript, or Java, along with experience in building LLM-powered agents and familiarity with frameworks like LangGraph. This position is ideal for someone with over six years of experience who can navigate ambiguity and work closely with non-technical teams to translate their needs into effective automation solutions. Wrapbook's environment emphasizes collaboration and innovation, making it a fitting place for those looking to make a significant impact.

Joblaze insights

  • Listed today — first seen on Joblaze October 17, 2026. Last confirmed on Wrapbook's careers page October 17, 2026.
  • Python appears in 52.9% of 539 comparable senior ai/ml roles in United States; GPT appears in 0.2% of 539 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Software Engineer, Applied AI role remote?
It's hybrid — Wrapbook expects some on-site time in Seattle, United States.
How much experience is required?
At least 6 years of relevant experience for this Senior Software Engineer, Applied AI role.
Where is the role based?
Wrapbook is hiring for this position in Seattle, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: Amazon Bedrock AgentCore, AutoGen, Claude, GPT, Java, LangChain.
What seniority level is this role?
Wrapbook targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Software Engineer, Applied AI role at Wrapbook.

From the original posting

The Opportunity: Senior Software Engineer, Applied AI (Hybrid - Seattle)

 

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 You’ll 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 You’ll 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 broke and how you fixed it

  • Production experience with at least one agent or LLM framework, such as LangGraph, LangChain, LlamaIndex or AutoGen, and a solid understanding of AI architectures like RAG, reranking and multi-agent orchestration. Experience with LangGraph specifically is a plus

  • A security-first mindset: you think about data access, permissions and failure modes in everything you build, especially when agents can take real actions

  • Strong product sense and communication skills, with the ability to work directly with non-technical teams to understand their workflows and turn them into reliable automation

  • Comfort with ambiguity and an ownership mentality: you can take a loosely defined problem from idea to production on your own

  • Nice to have: experience running AWS workloads in production and knowing how to design for, deploy on and get the most out of Amazon's services, ideally including Amazon Bedrock AgentCore

 

In addition to a competitive salary and all the benefits you can expect from a fast-growing technology company, you’ll get access to a team of creative problem solvers and the chance to see your contributions make large impacts Benefits include:

  • Unlimited Paid Time Off

  • Work from anywhere in Canada and USA

  • Health and Dental benefits

  • Up to 2% matching RRSP / 401K

  • Learning and Development opportunities

#LI-Remote

Standard company text repeated across Wrapbook's postings is omitted here.

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