Founding Engineer

About the role

Design and build the core runtime that powers autonomous AI agents
Architect systems for reasoning loops, planning, tool use, and memory
Enable agents to execute multi-step workflows across business systems
Build systems enabling agents to operate across voice, SMS, chat, and email
Develop real-time conversation pipelines and turn management
Handle interruptions, context switching, and long-running dialogues
Develop agent orchestration layers for async and long-lived tasks
Build DAG/workflow systems coordinating agent decisions and actions
Enable outcome-based automation (not just conversations)
Integrate frontier models into production agent systems
Build prompt pipelines, evaluation harnesses, and guardrails
Design reliability layers: fallbacks, retries, human handoffs
Architect event-driven systems handling millions of agent actions
Build job queues, schedulers, and execution pipelines
Optimize latency, throughput, and infrastructure cost

Responsibilities

• 3–7 years building scalable backend or distributed systems
• Strong experience in Python or TypeScript
• Deep understanding of async processing and event-driven systems
• Experience designing production APIs and service architectures
• Experience working with LLM APIs in production environments
• Familiarity with agent frameworks, reasoning systems, or tool use
• Built systems where AI drives real user or business outcomes
• Comfortable owning infra end-to-end
• Strong debugging and performance optimization skills
• Product-minded — you think in workflows, not endpoints
• Built agent tooling (memory, planning, tool execution)
• Experience with workflow engines or orchestration systems
• Familiarity with real-time communication infra
• Experience with RAG, knowledge bases, or retrieval systems
• Exposure to eval frameworks and agent reliability testing
• Worked on customer ops, sales, or support automation

Requirements

• LLMs: OpenAI + frontier / open-weight models
• Agent Systems: Custom runtimes + orchestration frameworks
• Communication: Voice, SMS, chat, email infrastructure
• Backend: Python, TypeScript
• Infra: AWS, Kubernetes, Postgres, Redis
• Observability: Prometheus, Grafana, tracing
• Workflows: Queue + DAG orchestration systems

Qualifications

• 3+ years experience

Skills

• Python or TypeScript
• Async processing and event-driven systems
• Production APIs and service architectures
• LLM APIs in production environments
• Agent frameworks, reasoning systems, or tool use
• Real-time communication infra
• RAG, knowledge bases, or retrieval systems
• Evaluation frameworks and agent reliability testing
• Customer ops, sales, or support automation

Benefits

• Competitive salary + founding equity
• Direct ownership of core platform architecture
• Work on frontier agent infrastructure problems
• Build AI systems deployed in real enterprise workflows
• Fast shipping velocity with technical founders

Pay

• $120K - $180K

Schedule

• 0.50% - 1.50%

Location

• Seattle, WA, US