San Francisco, California, United States · On-site
$100k–$200k/yr
Role We are hiring a DevOps / SRE Engineer to help build, automate, operate, and optimize the deployment, maintenance and development of our systems. Working alongside senior engineers, you’ll contribute to our applicati…
Skills: Bash, Python, Infrastructure-as-Code, Docker, CI/CD
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Build, automate, and optimize the deployment and maintenance of systems in a multi-cloud environment. Contribute to application code, infrastructure-as-code, CI/CD pipelines, and production monitoring.
Requires proficiency in Python and Bash, along with experience in Docker, CI/CD, and cloud networking. Candidates should have a startup mindset and be comfortable managing production environments.
We are hiring a DevOps / SRE Engineer to help build, automate, operate, and optimize the deployment, maintenance and development of our systems.
Working alongside senior engineers, you’ll contribute to our application code, infrastructure-as-code, CI/CD pipelines, deployments, monitoring, and more in a multi-cloud environment.
Graphon AI is building the pre-model intelligence layer for the next generation of AI. We are developing the context engine layer that solves a fundamental challenge: “What if I could just dump all my data and GPT/Claude/Gemini could smartly reason across it?” Today, this is incredibly difficult due to the limitations of LLM context windows and the fundamental squared scaling inherent to attention mechanisms. While sparse attention and RAG systems attempt to address this, they haven't proven to be robust general solutions.
Pre-model intelligence is our answer. We believe a graph-based approach that analyzes relationships across data on a topological level provides the correct inductive bias for long-context multimodal reasoning.
Just as CNNs provided the bias for spatial invariance in vision, and Transformers established the standard for sequential dependencies in language, our framework provides the structural foundation needed for complex, interconnected data.
We believe the next wave of AI progress will come from better infrastructure around models:
Better Memory & Context: Creating truly persistent, scalable state.
Better Representations: Moving beyond simple embeddings to relational world models.
Universal Infrastructure: A way to stop rebuilding the same context layer for every agent, dataset, and application.
We are a lean, experienced team that values ownership, pragmatism, and technical excellence. We have raised a significant seed round from top-tier VCs and strategic foundation model providers to scale this new paradigm.
Arbaaz Khan, CEO: ex-Amazon; PhD in Robotics and ML.
Clark Zhang, CTO: ex-Meta; PhD in Robotics and ML.
Deepak Mishra, COO: ex-VC; 10+ years of Enterprise Technology experience.
Experience building developer-facing products, dashboards, or internal tools.
Compensation & Benefits
Base salary range: $100,00-$200,000 (depending on experience and level)
Meaningful equity with the opportunity to own a real stake in a category-defining company
Benefits Competitive perks in a fast-moving, high-ownership environment
Building the first pre-model intelligence layer for AI
Building the first pre-model intelligence layer for AI
Offices: San Francisco, CA, US · 44 Montgomery St, Suite 300, San Francisco, California 94104, US
View all jobs at Graphon AIBuilding the first pre-model intelligence layer for AI
Building the first pre-model intelligence layer for AI
Offices: San Francisco, CA, US · 44 Montgomery St, Suite 300, San Francisco, California 94104, US
View all jobs at Graphon AI