Senior Member of Technical Staff
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Role Details
Company: US-based AI technology company
Industry: AI / Agent Infrastructure / Enterprise Software
Location: San Francisco, California
Employment Type: Full-time
Work Arrangement: On-site, 5 days per week
Salary: $225,000–$320,000
Equity: Competitive equity
Experience: 5–10 years
Visa Sponsorship: Open to eligible visa transfers and sponsorship, including H-1B and O-1
Hiring Count: 1 candidate
About the Company
An AI technology company building and deploying advanced AI agents for enterprise customers, including government organizations, banks, hospitals, and Fortune 500 companies.
The company has established commercial traction, generates recurring revenue, and focuses on deploying reliable AI systems in complex enterprise environments.
About the Role
The company is hiring a Senior Member of Technical Staff to build and ship AI-powered products and infrastructure. The role combines full-stack engineering, AI agent architecture, and technical leadership, with significant ownership over product development and deployment.
The successful candidate will work in a high-performance team, take ownership of complex technical challenges, and have the opportunity to grow into an engineering leadership position.
Responsibilities
Design, build, and deploy full-stack products and AI-powered systems.
Develop and scale AI agent infrastructure for enterprise applications.
Build reliable, secure, and scalable systems using Python, TypeScript, and Next.js.
Work with Kubernetes, Helm, and Docker to manage deployment infrastructure.
Own features end-to-end, from technical design through production deployment.
Improve AI agent reliability through evaluation, sandboxing, observability, and benchmarking.
Make architectural decisions and solve complex engineering challenges independently.
Lead technical projects, mentor engineers, and contribute to team development.
Requirements
5–10 years of full-stack software engineering experience.
Proven experience building and shipping products end-to-end at a high-growth startup or leading technology company.
Bachelor's degree in Computer Science or a related STEM field.
Strong proficiency in Python and TypeScript/Next.js.
Deep knowledge of Kubernetes, Helm charts, and Docker.
Ability to operate as a technical lead and manage engineers.
Strong problem-solving skills and the ability to work autonomously.
Willingness to work on-site in San Francisco five days per week.
Why Join?
Work on advanced AI agent systems used by major enterprise customers.
Join a technically strong team with a focus on real-world AI deployment.
Take significant ownership of product development and technical decisions.
Work on complex engineering challenges across AI infrastructure and enterprise software.
Earn $225,000–$320,000 in salary, plus competitive equity.
Grow into an engineering leadership role, with potential for a future CTO-track position.
Join a company with strong commercial traction and an expanding enterprise customer pipeline.
Interview Process
Candidate Submission
Intro Call
Technical Behavioral Interview
On-site Project and Presentation
Reference checks and offer.
🌍 Remote from anywhere in the globe
Workplace, Culture & Diversity
Corporate culture is essential to allow the organization to differentiate itself. In terms of image on the one hand, it has strengths both internally and externally to consumers. It is indeed a source of cohesion and motivation of employees and it limits conflicts. With customers, it conveys a positive image and can develop a feeling of closeness to the company or even become a criterion of choice.
About Fractal Talent
We Are Fractal Talent, a global community of freelance and fractional recruiters. We provide recruiting expertise to our clients as a virtual extension of their teams, deployed on an embedded, project or per role basis, and matched to client need. Top tier quality, unrivalled flexibility.
If you're a recruiter, come join a community that acts as your outsourced sales function. We align your skills to our clients - with the aim to enrich quality recruiters and enable a far greater flexibility in how you manage your career.