> Markdown version of [/jobs/ext/4577389-senior-software-engineer-ai-automation](https://www.wearedevelopers.com/jobs/ext/4577389-senior-software-engineer-ai-automation). 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 Software Engineer, AI Automation - **Company:** The Ladders - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $134,600 - $199,600 - **Contract:** Permanent contract - **Skills:** Continuous Integration, Information Engineering, Python (Programming Language), Operational Databases, Standard Sql, Software Deployment, Software Engineering, Software Systems, Systems Integration, Large Language Models, Agentic-AI, Git, Build Tools - **Published:** November 5, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pwtu0nx8kb ## About the Role * 7+ years of hands-on software engineering experience, particularly with LLM-backed applications. * Proven track record of transitioning AI agents from prototype to reliable production. * Strong Python and SQL skills, with experience in production data models. * Expertise in multi-step automation workflows and production deployment. * Experience integrating AI systems with business-critical applications. * Strong judgment in evaluation methodologies and safety controls for AI deployment. * Solid fundamentals in Git, CI/CD, and production engineering best practices. * Ability to navigate ambiguous environments and influence stakeholders effectively. ## Description * Lead the design and delivery of AI agents and automation workflows for internal teams. * Translate complex business processes into reliable software solutions. * Design integrations between AI agents and existing systems using MCP and similar frameworks. * Define architecture and operational standards for production AI systems. * Establish evaluation strategies and quality baselines for deployment decisions. * Build systems with robust controls for permissions and auditability. * Collaborate with data engineering and business stakeholders to ensure trustworthy data usage.