Product Engineering Tech Lead
About this role
TL;DR
We are hiring a Product Engineering Tech Lead to own the layer that runs our customers' AI applications: serverless, durable, streaming execution, and the observability that proves it works. You sit where backend engineering, platform operations, and product meet. You scale this platform to enterprise grade, push it into new territory like long running autonomous agents, lead the team that builds it, and own the result end to end. This is a builder role with a founder mindset, not a maintainer role.
Why deepset
At deepset, we’re on a mission to make custom AI solutions accessible to every organization. With Haystack, thousands of developers build advanced LLM applications every day, while our enterprise AI Platform helps companies turn large language models into business value. We’re remote-first, flexible, and built on a culture of trust and ownership. You’ll collaborate with top-tier tech talent, tackle meaningful challenges, and help transform complex AI into solutions that are simple, powerful, and ready for the real world.
Responsibilities
- Own the serverless execution platform. Pipelines and agents need to run fast, reliably, and concurrently at enterprise scale, and they need to behave identically whether invoked serverless or running as a deployed service. You'll architect the execution layer that makes that true, including the durability work (surviving node evictions, spot terminations, rolling deploys) needed to keep long-running agents alive for hours, not seconds.
- Own streaming and long-lived connections. Conversational and agentic workloads here are long-lived, not simple request/responses. You'll own how those connections behave under pressure: backpressure, graceful shutdown, reconn