Founding AI Agent Engineer

Allus AI (YC F25)

Cupertino (CA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

A technology company in Cupertino seeks a talented engineer to own the development of AI-native software systems. This role focuses on building workflows, developing key technologies, and refining user-facing AI experiences. Candidates should have over 5 years of backend engineering experience and a strong understanding of LLM-powered applications. The ideal candidate will possess a passion for AI solutions and the ability to transform prototypes into production-ready systems.

Qualifications

  • 5+ years of experience building production software systems.
  • Experience with LLM-powered applications or agentic workflows.
  • Strong understanding of prompt design and evaluation techniques.
  • Ability to move quickly from prototype to production.

Responsibilities

  • Own the development of AI-native software systems across the platform.
  • Build workflows transforming user requirements into structured processes.
  • Design systems for orchestration, tool use, and workflow reliability.
  • Build software supporting feedback loops and iterative task refinement.

Skills

Backend engineering skills
Production software systems
LLM-powered applications
Prototype to production
User-facing AI experiences

Tools

Python
Rust
SQL
TypeScript
React
Node.js
FastAPI
Docker
Redis
AWS
GCP

Job description

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

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.

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