Founding AI Agent Engineer
Founding AI Agent Engineer at Allus AI — Cupertino, CA, US
- Company: Allus AI
- Location: Cupertino, CA, US
- Employment type: FULL_TIME
- Salary: USD 100000–200000 / year
- Posted: 2026-07-17
About this role
Allus AI is building the next generation of vision intelligence systems.
We are building an AI-native platform for real-world vision workflows, combining vision intelligence and modern agentic software systems. Our goal is to make it dramatically easier for users to go from a problem statement and example data to a reliable production workflow.
We’re hiring a Founding Engineer to help build the core software systems powering the platform. This role sits at the intersection of agentic workflows, product engineering, developer infrastructure, and AI-native user experience. We’re backed by leading investors including Y Combinator, Pioneer Fund, Blast, Transpose, 007 Venture Partners, K50, and Ponderosa.
What you’ll do
Own the architecture and development of core AI-native software systems across the platform
Build agentic workflows that turn user requirements and example inputs into structured, multi-step product workflows
Design systems for orchestration, tool use, task planning, state management, and workflow reliability
Build software that supports data intake, review loops, human feedback, and iterative task refinement
Develop infrastructure for prompt orchestration, memory, retrieval, and contextual personalization
Build internal tools and user-facing product features powered by LLMs and agents
Design evaluation and monitoring systems for workflow quality, reliability, latency, and production readiness
Improve developer velocity through strong abstractions, automation, and AI-native tooling
Rapidly prototype and ship new AI-driven product capabilities
What we’re looking for
5+ years of experience building production software systems
Strong backend engineering skills, including APIs, data pipelines, and system design
Experience building and shipping LLM-powered applications or agentic product workflows
Strong understanding of prompt design, tool use, retrieval, orchestration, and evaluation techniques
Ability to move quickly from prototype to production
Strong product intuition and desire to build user-facing AI experiences
Comfort working across multiple parts of the stack with high ownership
Relevant experience
Full-stack software development
Agent orchestration systems and multi-step workflow design
RAG systems, embeddings pipelines, or retrieval architectures
Human-in-the-loop systems and review workflows
Evaluation systems, observability, and production monitoring
Internal platforms, developer tooling, and automation systems
AI-native engineering
We are building an AI-native company and expect engineers to actively use modern AI tools in their daily workflow. Strong candidates should already be comfortable using tools such as Cursor, Claude Code, modern AI coding assistants, and LLM-based and agent-based development workflows.
Technologies we use
Python, Rust, SQL, TypeScript, React, Node.js, FastAPI, LangChain, Docker, Redis, AWS, GCP.