True Talent Solutions Partners
Senior Member of Technical Staff, Platform
Senior hands-on IC building and scaling the platform and backend systems behind AI research and customer-facing agent products — cloud infrastructure, CI/CD, observability, developer tooling, and production LLM/agent serving. Uses Python/Go, Kubernetes, and AWS or Google Cloud; on-site in Palo Alto.
- Compensation
- $200K–$300K / yr
- Location
- Palo Alto
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Full time
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- 5–12 years of backend or platform engineering experience, including senior/staff-level IC work and daily coding
- Experience building a customer-facing product platform from the ground up, ideally for LLM or agent workloads
- Strong backend fundamentals in Python or Go, APIs, databases, storage, and distributed systems
- Working experience with Kubernetes and a major cloud platform (AWS or Google Cloud)
- Production experience with LLM or agent serving, orchestration, memory, tool use, or evaluations
- Strong technical/CS fundamentals with familiarity in data pipelines, job scheduling, or ML experimentation workflows
Nice to have
- Experience across both large technology organizations and startup or research environments
Full description
About the Role
Build the platform and backend systems that support AI research and customer-facing agent products. This hands-on role spans infrastructure engineering, developer tooling, and production serving, working closely with research and product teams.
What You'll Do
- Design and maintain cloud infrastructure, storage, CI/CD, observability, and security for research and product environments.
- Build internal developer tools, automation, and shared libraries that help teams work efficiently.
- Develop reliable systems for data management, model experimentation, evaluation, and deployment.
- Improve build, test, and release workflows from prototype through production.
- Monitor service and pipeline performance, troubleshoot bottlenecks, and improve reproducibility.
- Build and scale backend serving systems for agent workloads, including availability, tracking, security, and networking.
- Contribute to platform architecture and infrastructure strategy as systems scale.
What We're Looking For
- Five to twelve years of backend or platform engineering experience, including senior or staff-level individual-contributor work and daily coding.
- Experience building a customer-facing product platform from the ground up, ideally for LLM or agent workloads.
- Strong backend fundamentals in Python or Go, APIs, databases, storage, and distributed systems.
- Working experience with Kubernetes and a major cloud platform, such as AWS or Google Cloud.
- Production experience with LLM or agent serving, orchestration, memory, tool use, or evaluations.
- Experience across both large technology organizations and startup or research environments.
- Strong technical or computer science fundamentals, with familiarity in data pipelines, job scheduling, or ML experimentation workflows.
Compensation & Benefits
Base salary range: $200,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in Palo Alto, California, United States.