# QA Engineer (AI Systems) at Nexxa.ai

- Company: Nexxa.ai
- What the company does: Agentic automation tailored to system-critical industries the world relies on. Book a free consultation today. Backed by a16z and a16z speedrun.
- Company website: https://nexxa.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: SF Bay area
- Work setup: Remote
- Posted: 2026-08-27
- Apply by: 2026-10-11
- Apply: https://jobs.ashbyhq.com/nexxa/e887b8f1-7545-48b5-9033-411cb958dca5
- Page: https://www.1752.vc/careers/jobs/nexxa-ai-qa-engineer-ai-systems/

## About the role

We're looking for a Lead / Senior / Staff QA Engineer to own quality for Nexxa's AI agent systems — products that plan, call tools, and take multi-step actions autonomously in industrial environments. This isn't traditional UI testing: you'll be designing evaluation frameworks for non-deterministic, tool-using systems, building golden datasets, catching regressions in reasoning quality, and stress-testing agent behavior under adversarial and real-world edge-case conditions.

## What they're looking for

- 5+ years in QA/SDET roles, with demonstrated ownership of test strategy for complex systems
- Hands-on experience testing LLM-based products, chatbots, or AI agents — you understand why traditional deterministic test assertions break down for generative systems
- Practical experience with eval frameworks or tooling (e.g., promptfoo, DeepEval, RAGAS, LangSmith) or a track record of building your own
- Strong scripting/programming ability (Python preferred) to build test automation, data pipelines, and eval tooling
- Understanding of how LLM agents work: prompting, tool/function calling, context management, RAG, memory, and orchestration frameworks
- Experience designing test data and labeled datasets, including sourcing, sampling, and managing dataset drift over time

Tags: Engineering
