AI Engineer
Machine Learning EngineerData
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Quick Summary
Key Responsibilities
backend APIs, agent orchestration, LLM integration and optimization, evals, and cloud integrations Build the platform primitives — document extraction with citation and conflict resolution,
Technical Tools
Machine Learning EngineerData
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.
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.
Responsibilities
~1 min read- →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
- 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
Nice to Have
~1 min read- Experience building AI-driven, document-intelligence, or developer-tooling products
- Experience with data platforms, search/retrieval, or schema/ontology design
What We Offer
~1 min read✓Competitive salary and equity
✓Full medical, dental & vision coverage
✓Generous PTO
✓Relocation and visa support if applicable
✓Annual team offsites
Location & Eligibility
Where is the job
Seattle, United States
Hybrid, some on-site time required
Who can apply
US
About this job
- Who can apply
- United States
- Posted
- 139 days ago
Listing Details
- Posted
- May 29, 2026
- First seen
- September 26, 2026
- Last seen
- October 15, 2026
Posting Health
- Days active
- 18
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- October 15, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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