Member of Technical Staff

About the Company

We’re partnering with a well-funded AI research company building the future of specialized intelligence through AI agents. Their mission is to expand access to expertise by developing agents that continuously learn, improve, and achieve expert-level performance across domains. Rather than pursuing a single general-purpose system, they believe the future belongs to an ecosystem of highly capable specialized agents. The company's research has already helped shape the modern agent ecosystem and is reflected in frontier AI systems from leading organizations across the industry. They are building the infrastructure, tooling, and research foundation required to bring specialized intelligence to every individual and organization.

Company Snapshot

• Raised $40M in funding and operating with a lean team of 10 employees.
• Founded in 2025 and already working at the frontier of AI agents and specialized intelligence.
• Research from the founding team has helped shape the modern agent ecosystem and is used in frontier models from OpenAI, Anthropic, and Google.
• Building foundational infrastructure that powers research, agent development, model training, and production deployment.
• Extremely lean, high-talent-density environment with significant ownership and direct impact on company direction.

Why You Should Join

• Work on cutting-edge AI agent systems at the intersection of infrastructure, MLOps, and research.
• Join a small, highly technical team where every engineer has meaningful ownership and influence.
• Collaborate directly with researchers and engineers building next-generation AI systems.
• Help build the internal platform powering everything from experiments to production deployments.
• Opportunity to shape infrastructure strategy at a company defining the future of AI agents.

About the Role

You'll join as an early member of the platform team, building the infrastructure, tooling, and systems that power research, experimentation, and production deployments. Working closely with research scientists and engineers, you'll help create a scalable foundation that enables rapid iteration, reliable deployment, and efficient model development. This role sits at the intersection of Platform Engineering, Infrastructure, MLOps, Developer Tooling, and AI Systems.

Responsibilities

• Design and maintain cloud infrastructure, CI/CD systems, observability, and security frameworks.
• Build internal developer tools and automation systems that improve engineering velocity.
• Develop systems for model experimentation, evaluation, deployment, and data management.
• Improve platform reliability, scalability, and performance across environments.
• Partner with research and product teams to optimize workflows and infrastructure.
• Define infrastructure standards and help shape long-term technical architecture.
• Contribute to agent platform development, backend systems, and deployment tooling.

Qualifications

• 2–7 years of experience in Platform Engineering, Infrastructure Engineering, DevOps, or MLOps.
• Experience scaling production infrastructure and developer platforms.
• Strong cloud infrastructure and distributed systems fundamentals.
• Experience with containerization, orchestration, and CI/CD systems.
• Strong ownership mindset and ability to operate independently.
• Interest in AI systems, agent infrastructure, and machine learning platforms.

Compensation & Logistics

• Compensation: $200K–$300K Base Competitive Equity
• Location: Palo Alto, CA
• Work Model: 5 Days/week, Onsite
• Visa Sponsorship: Available