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# KV | Staff Software Engineer

- **Company:** Khosla Ventures, LLC
- **Location:** Menlo Park, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Infrastructure, Data Mining, Systems Theories, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, AI Platforms
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_eca76edf2974c1f92fb0e414052d9675

## About the Role

* A total of ~10 years of full-stack software engineering experience in enterprise technology a portion of which is Staff-level
 * At least one 0-to-1 build: a startup, new product line, or significant internal AI platform
 * Strong product instincts: comfortable talking to non-technical stakeholders and translating fuzzy needs into shipped tools
 * Experience working with LLMs/AI tooling in production (agents, voice, RAG, structured data extraction, etc)
 * Self-directed, resourceful, and able to prioritize without heavy process
 * Genuine interest in venture capital, startups, or the KV portfolio ecosystem
 * Implementing a security model to protect sensitive firm and portfolio company data
 * Excellent judgment around data sensitivity and confidentiality (dealing with sensitive financial and personal data)
 * Capable of shipping fast while maintaining a high quality bar
 * Making technology and vendor choices

## Description

* AI that is always on, reacting to events, alerting the right people, and taking actions autonomously
 * AI agents that continuously research markets, technologies, companies, and people.
 * Systems that turn fragmented internal and external information into a durable institutional knowledge base.
 * Agentic workflows for sourcing, diligence, portfolio support, and firm operations.
 * Research systems capable of synthesizing large quantities of structured and unstructured information.
 * Internal products that make investors and operating partners dramatically more effective.
 * Data infrastructure connecting proprietary KV data with public and commercial datasets.
 * Evaluation systems that tell us whether AI-generated research and analysis is actually correct and useful.
 * New products and workflows you propose