> Markdown version of [/jobs/ext/4622669-senior-backend-engineer-architecture-engineering-nonlinear-productivity](https://www.wearedevelopers.com/jobs/ext/4622669-senior-backend-engineer-architecture-engineering-nonlinear-productivity). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Backend Engineer, Architecture Engineering: Nonlinear Productivity

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $135,000 - $160,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Programming Tools, Distributed Systems, Python (Programming Language), Software Engineering, Multi-Agent Systems, Backend, Build Management, Codebase
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8eo6hpxs

## About the Role

* Hands-on experience building reliable agentic systems and large language model-based solutions.
 * Demonstrated ability to work autonomously in unfamiliar codebases and drive solutions to completion.
 * Strong understanding of distributed systems principles such as coordination and failure modes.
 * Proficiency in Go, Rust, or Python, with the ability to modify code in the other two languages.
 * Experience shipping autonomous agents that navigate real tasks and optimize software development processes.

## Description

This role will focus on designing and building AI-powered backend systems that reduce friction across the software development lifecycle. You will work in deep codebases, turning ambiguous problem spaces into reliable engineering solutions that improve developer productivity and internal execution. The position also involves creating evaluation methods, anticipating failure modes, and collaborating with global teams to take ideas from internal fixes to scalable customer-facing capabilities., * Identify and scope solutions that reduce friction in the software development lifecycle.

 * Design and build AI-powered systems with workflows and safety checks to support reliable engineering output.
 * Develop evaluation tools to assess the correctness and cost of agent outputs.
 * Work across diverse areas of the codebase to address issues wherever they arise.
 * Apply distributed systems knowledge to anticipate and resolve failure scenarios before deployment.
 * Collaborate with global teams to share findings and development tools.
 * Take ownership of new problem spaces and shape internal fixes into customer-facing capabilities.