Arcanaanalytics
Senior AI Engineer — Inference & Agent Systems
United States · Senior
Sponsorship not specifiedDetected 1 day ago
PythonGoPostgreSQLDockerTemporalKafkaMachine LearningLLMsAgentic AIManual TestingResearch
About the role
- The product only works if the agents are fast, reliable, and correct, not approximately correct.
- Our stack: Go + Temporal for orchestration, a Plan-Execute-Synthesize agent architecture, and an evaluation harness we use to measure every regression.
- 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.
Responsibilities
- What We're Building
- Arcana is building AI agents that synthesize information across heterogeneous sources and deliver structured, reasoned answers in real time.
- Drive TTFT below 400ms for multi-step agent pipelines
- Design and implement Plan-Execute-Synthesize pipelines that run sub-agents in parallel DAGs, not sequential chains
- schema design that LLMs actually follow reliably across providers
Requirements
- 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
- No cover letter required
Skills
- LLM-as-judge pipelines for qualitative output assessment
- Latency regression testing - p50/p95/p99 tracked across every deployment
Company info
- A real-time AI product (search, coding assistant, chat at scale)
- A model serving infrastructure company
- An agent platform (any domain)
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