Senior AI Engineer — Inference & Agent Systems

Model serving and cold start optimization

Async worker architecture for parallel sub-agent execution

Observability: trace every token, every tool call, every synthesis step

You've built something that runs in production at a meaningful scale and you understand why it's fast (or why it isn't).

Strong signal:

You've worked on inference pipelines where TTFT was the primary metric and you moved it meaningfully

You've built multi-step agent systems and you know where they break not from reading papers but from watching them fail in production

You've written eval harnesses from scratch and you have opinions about what makes a ground truth dataset actually useful

You've debugged LLM non-determinism in production and built systems resilient to it

You've worked with streaming LLM responses and built infrastructure around partial output handling

Weaker signal (but not disqualifying):

You've fine-tuned models but haven't shipped inference systems

You've used LangChain/LlamaIndex but haven't built the layer underneath

Strong ML research background without systems exposure

Stack familiarity (we care more about depth than match): Go, Python, Temporal, Kafka, PostgreSQL, Docker

The problems here don't have blog posts about them yet.

Parallel agent DAG execution under hard latency budgets, streaming synthesis across partial sub-agent results, eval harnesses for non-deterministic multi-step systems: these are genuinely unsolved at production quality.

Small team.

High ownership.

Every engineer's decisions ship to production.

You've shipped inference systems at:

A real-time AI product (search, coding assistant, chat at scale)

A model serving infrastructure company

An agent platform (any domain)

Or you've built eval/harness infrastructure that a team of 10+ engineers actually trusted to catch regressions.

Send to: [careers@arcana.io]

• One system you built where latency was the primary constraint what you measured, what you changed, what moved
• Link to anything public (code, writing, talks)
• No cover letter required

We respond to every application.