Founding Systems Engineer (Infrastructure)
Build the foundational infrastructure powering massive agentic runs
About Pavo
Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them.
We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience.
We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale.
Our team has built impressive momentum with a small group of highly capable engineers and researchers.
The Opportunity
As a Founding Systems Engineer, you will lead our ML Infrastructure team, driving DevOps, MLOps, and Agent Ops across both R&D and production environments. You will own the automation of release and evaluation processes and collaborate closely with cross-functional teams to support their projects.
This is a critical role for a builder who thrives at the intersection of ML research infrastructure and production systems, and wants to define the engineering culture of a fast-paced AI company from the ground up.
What You'll Build
- →ML Infrastructure Leadership: Lead the ML Infrastructure team working on DevOps, MLOps, and Agent Ops for both R&D and production environments.
- →Release & Evaluation Automation: Automate the release and evaluation processes for research and production, ensuring reliable and efficient delivery of ML systems.
- →Cross-Functional Collaboration: Collaborate with cross-functional teams and support their projects, acting as a key enabler across the organisation.
What We Are Looking For
- →MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms.
- →ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure.
- →Infrastructure as Code: Knowledge of IaC tools such as Terraform and Helm.
- →Cloud Expertise: Excellent familiarity with at least one of the hyperscaler clouds (GCP, AWS, Azure), and familiarity with the others.
- →Engineering Excellence: Excellent software engineering and problem-solving skills.
- →Communication: Excellent interpersonal and communication skills.
Why Join Us
- →Founding Equity: Significant ownership in a company tackling the next layer of the AI stack.
- →Technical Challenge: Solve novel infrastructure problems related to secure agentic execution and "orgs in a box."
- →World-Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users.
Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.