Founding AI Agent Engineer

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

• 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

• 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.

Python, Rust, SQL, Type Script, React, Node.js, FastAPI, Lang Chain, Docker, Redis, AWS, GCP.