Senior Software Engineer - AI Agents
About The Position
JeffreyM Consulting is partnering with an innovative, fast-growing AI technology startup to hire a Senior Software Engineer for its San Francisco-based engineering team. The company develops AI agents that automate complex engineering workflows across sophisticated desktop applications used in industries including aerospace, automotive, and advanced manufacturing. Its technology is used by thousands of people in production environments, and the company serves a growing portfolio of enterprise customers. The role focuses on building the core infrastructure for intelligent, autonomous software agents. The engineer will work closely with the CTO and collaborate with AI engineers, researchers, domain experts, product teams, and customers. Prior experience building AI agents is not required; the company is seeking strong computer science fundamentals, production software engineering experience, and interest in agentic AI systems. The position is based onsite in San Francisco five days per week.
Requirements
- 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.
Nice To Haves
- 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.
- A computer science degree from a highly regarded university.
Responsibilities
- Design and build core AI agent infrastructure, including tool-calling, state management, context management, model routing, and error recovery for 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 turn 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.
Benefits
- Equity
- Visa sponsorship, including H-1B transfers
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
