About Kumo.ai -
Kumo.ai is redefining enterprise AI with foundation models for relational data, enabling businesses to make more accurate decisions through intelligent systems. Our mission is to build AI-powered solutions that help organizations predict, optimize, and act autonomously—transforming how data scientists and analysts work with structured data. Our breakthrough in Relational Deep Learning and Graph Transformers automate feature engineering, allowing users to build powerful ML models with just a few lines of Predictive Query. We're creating intuitive interfaces that connect complex AI backends with delightful user experiences, making sophisticated machine learning accessible to users across the enterprise.
The Role -
We're seeking a Full Stack Software Engineer to build transformative user experiences that bring our revolutionary AI technology to life. You'll design and implement intuitive interfaces and robust backend systems that enable users to harness the power of our relational foundation models without requiring deep ML expertise.
Your work will focus on:
- Creating seamless, intuitive interfaces that translate complex ML capabilities into accessible user experiences
- Building scalable backend services that connect our powerful AI engines with enterprise data systems
- Developing interactive systems that enable intelligent workflows and data-driven decision making
- Implementing the APIs and frameworks that power our agentic capabilities
Key Responsibilities:
- Design and develop elegant full-stack solutions that make advanced ML capabilities accessible to users without machine learning expertise
- Create intuitive frontend interfaces using modern JavaScript frameworks (React) that visualize complex data and model outputs
- Build robust backend APIs and microservices in Fast API that integrate with our relational foundation models
- Implement database schemas and workflows (experience with Temporal is a plus)
- Design clean architecture that enables AI-driven features like automated insights, workflow suggestions, and intelligent assistants
- Work closely with product, design, and ML teams to translate cutting-edge capabilities into delightful user experiences
- Write high-quality, tested code and participate in code reviews
Minimum qualification:
- BS (preferred MS, PhD) in Computer Science or related technical field involving coding, or equivalent technical experience
- 3+ years of industry experience as a software engineer
- Strong experience designing backend APIs, database schemas and microservices
- Proficiency with modern JavaScript and frameworks (React)
- Knowledge of current best practices in full-stack architecture, including performance, accessibility, security, and usability
- Experience with Test Driven Development
- Basic understanding of machine learning concepts and data workflows
Preferred Qualifications
- 5+ years of relevant experience as a SWE
- Past experience launching SaaS products or working in Enterprise companies
- Experience with vector databases, embeddings, or LLM-powered applications
- Familiarity with workflow orchestration tools (like Temporal)
- Understanding of relational data, SQL, and data transformation
- Experience building data visualization or interactive analytics tools
- Strong communication skills and ability to work effectively with leadership and cross-functional teams
- Highly data-driven approach to decision making
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
Kumo Mountain View, California, USA Office
357 Castro St, Suite 200, Mountain View, CA, United States, 94041
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine