---
title: 'AI Engineer at Kanu AI'
canonical: 'https://feeny.ai/job/ai-engineer-kanu-ai-seattle-zhzxh7htz6dr'
type: 'job'
last_seen: '2026-09-13'
---

# AI Engineer at Kanu AI

- **Company:** Kanu AI
- **Location:** Seattle, WA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-05-29
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.gem.com/kanu-ai/am9icG9zdDo01b7TB2rXJMU1Dz9CUbUP

## Job description

AI Engineer - Kanu AI

## About Kanu AI

Every business, reduced to its essence, is three things: the data it gathers, the logic it applies, and the artifacts it produces. Kanu is an AI-agent platform that automates all three — it doesn't assist the business, it runs the work of the business.

Kanu began as the AI Cloud Engineer: an agent system that autonomously builds, deploys, and validates production infrastructure and large codebases inside a customer's own cloud account. Working with enterprise customers surfaced the insight the company is now built on — every business reduces to data, intelligence, and artifacts — so we aimed that engine at the core of business itself. Today the platform ingests the documents and emails flowing through an organization, applies the organization's own reasoning through governed, reusable AI modules, and generates finished outputs — deliverables, dashboards, models, client-facing artifacts, even full websites and forms — with a human approving every consequential step.

Adoption at our flagship customer has grown nearly 10x in the past months.

## The Role

We're hiring an AI Engineer to build the core Kanu platform. You'll work across the stack — backend, AI agents, and cloud automation — on the three pillars of the product: data ingestion and flexible, user-defined ontologies; the intelligence layer (extraction agents with citations, skills, and modules that capture how organizations reason); and generative outputs, where the agent builds whatever the work requires.

You'll play a hands-on role shaping our engineering culture and shipping high-impact features that move directly into production environments inside customer clouds.

## What You'll Do

- Design, build, and maintain full-stack features: backend APIs, agent orchestration, LLM integration and optimization, evals, and cloud integrations
- Build the platform primitives — document extraction with citation and conflict resolution, flexible entity ontologies, reusable skills and logic modules, and generative outputs (dashboards, documents, client portals)
- Work directly with real customer workflows and iterate rapidly on practitioner feedback
- Collaborate with product and GTM teams to deliver enterprise-ready, human-in-the-loop experiences
- Improve reliability, performance, and testing coverage across the platform

You May Be A Fit If You

- Have 2+ years (excluding internships) building production-grade full-stack applications
- Are comfortable in a fast-moving, high-ownership environment
- Communicate clearly and collaborate across teams with a bias toward action
- Have familiarity with agent frameworks and LLM-powered products

Bonus Points

- Experience building AI-driven, document-intelligence, or developer-tooling products
- Experience with data platforms, search/retrieval, or schema/ontology design

## Compensation & Benefits

- Competitive salary and equity
- Full medical, dental & vision coverage
- Generous PTO
- Relocation and visa support if applicable
- Annual team offsites

## About Kanu AI

## Company Overview
- **One-liner**: Kanu AI develops an autonomous AI cloud engineer that builds, tests, and deploys production-ready software and infrastructure directly inside enterprise cloud environments.
- **Entity Type**: Private, Early Stage VC (post-accelerator)
- **Headquarters**: Seattle, Washington, United States
- **Founded**: 2025
- **Founders**: Karan Grover (CEO & Co-Founder), Harsh Patel (COO & Co-Founder)

## Core Business
- Primary industry/industries: Enterprise AI, Cloud Infrastructure, DevOps Automation
- Target customers: B2B, Enterprise (including Fortune 500 companies), Engineering teams
- Mission or purpose statement: To turn proprietary knowledge into reusable company infrastructure that updates itself, and to make AI-powered cloud engineering the default for every organization.

## Products & Services
- **[Kanu AI Platform]**: An autonomous AI cloud engineer that connects directly to a company's AWS or GCP environment. Users describe a feature or product they want to ship, and Kanu AI executes the work — provisioning resources, writing production code, integrating with existing systems, and running testing and QA, all asynchronously and within the customer's own security boundaries. It includes capabilities for data ingestion from tools like Salesforce, GitHub, and SharePoint, and automatically creates and maintains workflows based on company logic and templates.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding - Undisclosed amount raised via Early Stage VC round (Nov 2025) and an Accelerator/Incubator program (Oct 2025). One source (Tracxn) lists it as "unfunded," which appears contradictory and likely incorrect given the verified investor and deal data on PitchBook.
- **Notable Investors/Partners**: Berkeley Frontier Fund, Better Angle, BMW i Ventures, Essentia Ventures, Team Ignite Ventures.
- **Growth Signals**: 
    - Already working with Fortune 500 enterprise customers.
    - Actively hiring for engineering roles, signaling product-market fit and scaling.
    - Featured on the a16z Speedrun platform.
    - PitchBook shows a clear Early Stage VC deal closed in November 2025.

## Competitive Advantages
- **Deploys Inside Customer Cloud**: Kanu AI runs inside the customer's own AWS or GCP account. This means the customer retains full control over their infrastructure, data, permissions, model accounts, and cloud spend, solving a major security and governance concern for enterprises.
- **Model Agnostic**: Routes each workflow across different approved LLMs without locking the company into a single provider.
- **From Idea to Production**: The platform goes directly from a natural language prompt to production-ready, cloud-native software, bypassing traditional sandbox environments and manual coding handoffs.
- **Self-Updating Workflows**: The system continuously learns from team outputs and data, proposing changes to workflows as they drift, ensuring they never become outdated.

## Strategic Focus
- **Enterprise Adoption**: Deepening integrations with major cloud providers (AWS, GCP) and enterprise data sources to serve large, security-conscious customers.
- **Product Velocity**: Shipping high-impact features rapidly based on direct customer feedback from Fortune 500 clients.
- **Engineering Culture Building**: Hiring a small, high-ownership core team to build the foundation of both the product and the company culture.

## Why Work Here
- **High Impact, Small Team**: With only 5 employees currently, new hires will have massive ownership over core product features and engineering culture from near-zero.
- **Cutting-Edge Work**: Building autonomous AI agents that directly manipulate production cloud infrastructure — a technically challenging and frontier-pushing space.
- **Working with Fortune 500s**: Opportunity to see your work directly impact large-scale enterprise customers from a very early stage.
- **Culture**: Described as "fast-moving, high-ownership" with a "bias toward action."
- **Compensation**: Competitive salary and equity, full medical, dental & vision coverage, and relocation/visa support if applicable.
- **Location/Remote**: Based in Seattle, WA. Job postings suggest on-site or hybrid is likely given the collaborative, high-ownership nature of the early stage.

## Sources
1. [getkanu.com](https://getkanu.com/)
2. [PitchBook](https://pitchbook.com/profiles/company/1134155-17)
3. [Tracxn](https://tracxn.com/d/companies/kanu-ai/__nvpCeNFHrpc3fbkgB8y7m4v5myhFQQc-eUJpxKh4Eko)
4. [speedrun.a16z.com](https://speedrun.a16z.com/companies/kanu-ai)
5. [Teal HQ (Job Posting)](https://www.tealhq.com/job/ai-engineer_7ea1a6c63b7b81573b2bce30f99b2540ca6ac)

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