AI Engineer - Relational Foundation Models & Agentic Systems
$125k/y-$185k/y
a day ago
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OnsiteFull-timeEntry
Summary
Kumo is seeking an AI Engineer - Relational Foundation Models & Agentic Systems to join their team in Mountain View, CA. The role involves building applications and agentic workflows on top of the Kumo Relational Foundation Model (RFM) and interfacing with customers and engineering teams.
About the Role
As an AI Engineer, you will design, implement, and deploy AI agents that assist data scientists, build user-centric APIs, and integrate Kumo's RFM with enterprise data systems. You will collaborate with cross-functional teams to create innovative solutions and demo your work to customers, ensuring the products meet real-world needs.
About You
Required:
- 1+ years in ML/AI product development or software engineering.
- Hands-on experience with embeddings, vector databases, and RAG.
- Strong background in deep learning, transformers, and LLM orchestration.
- Experience with relational data and SQL.
- Proficiency in Python and familiarity with data wrangling (Pandas, NumPy).
- Strong product sense and collaboration skills.
Preferred:
- Experience as a Founding Engineer or early builder at a startup.
- Experience with LangChain, LangGraph, LlamaIndex, OpenAI/Anthropic APIs.
- Track record building full-stack features.
- Experience integrating agents with enterprise systems and APIs.
- Background in knowledge graphs, GNNs, or causal inference.
- Familiarity with MLOps and cloud services (AWS/GCP).
- Knowledge of guardrails, safety, and governance for enterprise AI.
Benefits
- Competitive salary range of $125k–$185k per year.
- Opportunity to shape the future of AI for structured data.
- Work with a small, senior team that values high impact and low bureaucracy.
Kumo
Kumo is an AI model company that provides a platform for anyone to train and run state-of-the-art AI models on their relational data. Models built on Kumo already power the recommendations, fraud detection, risk scoring, entity resolution, RAG, and other mission-critical components inside applications used by hundreds of millions of people globally. The company is led by pioneers in Relational Deep Learning and Graph Transformers with the mission of helping AI teams make their most important data also their most useful data.
Mountain View, CA