Senior Software Engineer - AI Agents

JeffreyM Consulting, LLC.; San Francisco (CA); On-site; USD 180,000 - 330,000; Full time

Job summary

JeffreyM Consulting, LLC is partnering with an AI startup to hire a Senior Software Engineer – AI Agents for its San Francisco engineering team. The role focuses on building core AI agent infrastructure and production-grade software across desktop applications used in aerospace, automotive, and manufacturing sectors.

Applicants should have strong CS fundamentals, Python expertise, and a passion for agentic AI. This is a full-time onsite role in San Francisco with visa sponsorship available.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python programming

System design

Data structures & algorithms

Problem solving

On-site work

Tools

COM

Desktop automation

Job description

Location: San Francisco, CA | Onsite 5 Days/Week
Employment Type: Full-Time, Direct Hire
Compensation: $180,000–$330,000 Base Salary + Equity
Experience: 3–10 Years
Visa Sponsorship: Available, including H-1B transfers

About the Opportunity

JeffreyM Consulting is partnering with an innovative, fast-growing AI technology startup to hire a Senior Software Engineer – AI Agents for its San Francisco-based engineering team.

Our client is developing cutting-edge AI agents that automate complex engineering workflows across sophisticated desktop applications used in industries such as aerospace, automotive, and advanced manufacturing.

The company has already established significant commercial traction, with thousands of users leveraging its technology in production environments and a growing portfolio of enterprise customers.

This is an opportunity to join a highly technical, entrepreneurial team and work directly with the CTO to build the core infrastructure powering intelligent, autonomous software agents.

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.

What You'll Do

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.