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# Senior Software Engineer - AI Agents

- **Company:** JeffreyM Consulting
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $330,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Integration Architecture, Code Review, Data Structures, Software Debugging, Python (Programming Language), Performance Tuning, Software Engineering, Enterprise Software Applications, Large Language Models, Agentic-AI, Build Management, Information Technology, Low Latency
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25196_679484358aa435451a65cf7ac984dc2c

## About the Role

Prior experience building AI agents is not required. We're looking for engineers with exceptional computer science fundamentals, strong production software engineering experience, and genuine curiosity about agentic AI systems., * 3-10 years of professional software engineering experience building, deploying, and maintaining production systems.

 * Exceptional software engineering fundamentals, including system design, debugging, data structures, and algorithms.
 * Strong proficiency in Python and at least one additional programming language.
 * Experience developing reliable, scalable software and solving complex technical problems.
 * Ability and willingness to work onsite in San Francisco five days per week.
 * Strong interest in AI agents, automation, and emerging AI technologies., * 5+ years of professional software engineering experience.
 * Experience working in high-growth startups or fast-paced engineering environments.
 * Familiarity with enterprise software deployment, security restrictions, or applications running on corporate workstations.
 * Experience with desktop automation, COM, or programmatically controlling applications.
 * Experience developing AI agents, agentic workflows, or LLM-powered applications.
 * Computer science degree from a highly regarded university.

## Description

* Design and build core AI agent infrastructure, including tool-calling, state management, context management, model routing, and error recovery across complex, multi-step workflows.
 * Develop robust, production-quality software that interacts with sophisticated desktop engineering applications in enterprise environments.
 * Optimize system performance, latency, reliability, and cost efficiency, including token usage and workflow execution.
 * Build evaluation frameworks and reproducible benchmarks to measure agent performance, reliability, and task completion.
 * Collaborate with AI engineers, researchers, and domain experts to translate real-world customer needs into scalable technical solutions.
 * Troubleshoot complex engineering challenges involving concurrency, application integration, and failure handling.
 * Contribute to technical architecture, code reviews, and engineering best practices while working closely with product teams and customers.