Job Details

Mission

We are seeking a Full-Stack Platform Engineer to work on the control plane for an agentic V&V (verification and validation) system.

This role involves taking the outputs from our agentic testing engines and turning them into an intuitive SaaS platform that enables developers to measure and improve the quality of their AI agents.

Role

Overview: This role is about designing and building the backend and frontend of our SaaS product, bridging between deep V&V technology and developers using it.

Backend Architecture: Implement Python backend services that can coordinate and track execution environments, testing workloads and results, and telemetry data, potentially including cloud and local LLM inference strategies.

Frontend Design: Implement intuitive frontend interfaces allowing users to visualize software quality KPIs, test results, and execution telemetry, without getting overwhelmed by the data.

AI Integration: Work closely with V&V and integration engineers to weave appropriate AI capabilities into the platform, ensuring a smooth flow from agentic frameworks onto the developer dashboards.

Qualities

Complexity Tamer: You are comfortable organizing non-deterministic data, fault clusters, and statistical output, and distilling it into a clean, actionable UI.

High-Assurance Builder: You want to make reliable, production-grade software. You prioritize robustness, performance, and rigor over chasing trendy frontend hype.

AI Pragmatist: You understand LLMs and agentic systems. You don't need to be an ML expert, but you need to understand the AI stack well enough to build tools that can serve agentic AI developers.

Bonus Points

Experience building developer tools, observability platforms, or data-heavy SaaS products from the ground up.

Familiarity with complex data visualization or canvas-based UI rendering.

Experience with local LLM orchestration and inference engines (e.g., vLLM, Ollama, llama.cpp).

Experience

Extensive background as a Full-Stack Software Engineer, with deep proficiency in Python on the backend, modern frontend frameworks (React, Vue, etc.), and a history of shipping complex, production-grade systems.

Familiarity with AI concepts, integrating LLM APIs, or working alongside agentic orchestration frameworks.

About Us

We are an early-stage, stealth-mode agentic AI QA startup, backed by Breyer Zou Ventures and successful entrepreneurs, investors, and operators such as Scott Sandell, Sheryl Sandberg, Jerry Yang, and KR Sridhar.