Senior Software Engineer

Stealth Startup; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Stealth Startup in San Francisco is seeking a Senior Software Engineer to design, build, and deploy scalable software. You will own projects from concept through production, work on AI agents and agent-based workflows, and collaborate with product, business, and engineering teams.

The role demands strong Python production-grade experience, a CS background, and ambition to drive architecture and best practices in a fast-moving startup.

Qualifications

• 2–6 years of professional software engineering experience.
• Hands-on with AI agents and agentic systems.
• Strong Python production-grade development experience.
• Experience in a well-funded Series A–E startup preferred.
• Demonstrated ownership and career growth in previous roles.
• Solid CS fundamentals, system design, and best practices.
• BS/BA or higher in CS, Engineering, or related field.

Responsibilities

• Design, develop, and deploy scalable production-grade software using Python.
• Build and improve AI agents and agent-based workflows.
• Own complex technical projects from concept to production.
• Collaborate with engineering, product, and business teams.
• Contribute to architectural decisions, code reviews, and best practices.
• Solve challenging problems in a fast-moving startup.
• Build reliable systems that scale with company growth.

Skills

Python programming

AI agents experience

System design

Communication

Teamwork

Ownership

Education

Bachelor's or advanced degree in Computer Science or Engineering

Job description

Employment Type: Full-Time, Permanent

About the Opportunity

We are partnering with an innovative, well-funded Series B startup in San Francisco that is building cutting-edge AI-powered technology and rapidly expanding its engineering team. This is an exciting opportunity for a talented Senior Software Engineer to join a high-calibre team and make a meaningful impact on the company’s products, architecture, and technical direction.

What You’ll Do

• Design, develop, and deploy scalable, production-grade software solutions using Python.


• Build and improve AI agents and agent-based workflows.


• Take ownership of complex technical projects from concept through production.


• Collaborate closely with engineering, product, and business teams.


• Contribute to architectural decisions, code reviews, and engineering best practices.


• Solve challenging technical problems in a fast-moving startup environment.


• Build reliable systems that can scale alongside the company’s growth.

Required Qualifications

• 2–6 years of strong professional software engineering experience.


• Hands-on experience developing or working with AI agents and agentic systems.


• Strong Python programming experience, including building production-grade applications.


• Experience working within a well-funded Series A, B, C, D, or E startup is strongly preferred.


• Demonstrated career stability, professional growth, and meaningful ownership in previous roles.


• Strong computer science fundamentals, system-design skills, and software-engineering best practices.


• Bachelor’s or advanced degree in Computer Science, Engineering, or a related technical discipline, ideally from a top-30 U.S. university.


• Ability to succeed in a fast-paced, highly collaborative, and ownership-driven startup environment.


• Excellent problem-solving, communication, and teamwork skills.


• Currently located in the San Francisco Bay Area or willing to relocate.

Why Join?

• Join an ambitious Series B startup during an exciting stage of growth.


• Work alongside a talented, mission-driven engineering team.


• Take ownership of high-impact AI projects and influence the company’s technical direction.


• Build innovative technology that solves meaningful, real-world problems.


• Benefit from strong opportunities for professional development and long-term career growth.

Please note: This is a full-time, permanent position requiring employees to work onsite in San Francisco five days per week. Candidates must be based in the San Francisco Bay Area or willing to relocate.