Lead AI Engineer

The role

You will own the AI automation project end to end, including architecture, reliability, observability, cost, and the roadmap. You will build and lead, staying hands-on to improve workflow creation, execution, and recovery.

What you will do

• Own the AI automation project end to end including architecture, reliability, observability, cost, and roadmap
• Stay fully hands-on as a building role
• Set the technical bar for engineers contributing to automation
• Shape other AI pipelines such as the AI companion and activity data mining systems
• Build eval and benchmarking setups with regression checks
• Improve run success rates across changing UIs and edge cases
• Manage cost per run through model routing, caching and provider choice
• Build end-to-end tracing and observability
• Turn live runs and human feedback into reviewed improvements
• Shorten the path from recorded workflow to working automation

Required qualifications

• 8+ years of backend engineering, with production services and pipelines you designed and owned: APIs, workers, queues, real load, on-call
• 4+ years of technical leadership, owning the direction of a system and guiding the engineers who work on it
• Recent, hands-on experience building agentic systems in production: multi-step agents, tool use, MCP, agent loops with recovery and guardrails
• Built or owned eval, benchmarking and tracing for LLM systems: golden sets, regression suites, LangSmith, Langfuse or your own
• Experience managing LLM cost and latency in production: model routing, caching, provider choice
• Strong in TypeScript and Python
• Architecture judgment
• Strong written communication
• Open to working across timezones with a globally distributed team

Nice to have

• Experience with browser or desktop automation: Playwright, Puppeteer, DOM-based actions, computer-use agents
• Experience with model gateways and providers such as OpenRouter or Bedrock
• Familiarity with Django and ClickHouse, or similar stacks
• Experience running agents in virtual or sandboxed environments
• Previous experience at an early-stage or fully remote company

Benefits

• Full ownership of the system at the center of where Reflow is going next
• Work directly with the founding team
• Fully remote

About the company

Reflow is a workforce and workflow intelligence platform that sees how work flows through an organization and turns that into insight and automation.