WhyBrilliant

Founding Engineer

Let’s be honest: CVs and static dashboards are failing the hiring market. We are building WhyBrilliant to replace the global multi-hundred-billion-euro recruitment mess with real-time, voice-first AI conversation engines that actually understand human talent.

Overview

Why this role matters

Backed by Tier 1 AI investor Merantix Capital, our founding team has early traction but needs our first dedicated technical hire to turn a proven prototype into a production-grade market network. As Technical Hire #1, you will bridge the gap between raw LLM capabilities and a scalable, low-latency matching engine powered by ElevenLabs voice models and modern cloud tooling across GCP, AWS, and Vercel. Without you, we cannot transition from a validated concept to a highly defensible, scaling marketplace.

Responsibilities

What you'll do

You will own the end-to-end architecture and execution of our core platform, taking our voice-first matching engine from 0 to 1 across Next.js, FastAPI, and modern cloud infrastructure.

  • Architect and build the core Next.js frontend (hosted on Vercel) and Python backend services deployed across GCP/AWS.
  • Orchestrate production-grade LLM workflows, implementing Langfuse for tracing and Sentry for application monitoring.
  • Build low-latency, production-grade conversational voice UX integrating ElevenLabs and modern audio pipelines.
  • Design a secure data stack handling authentication, secrets, and safe processing of sensitive candidate data.
  • Establish pragmatic technical standards and cloud infrastructure optimized for developer velocity and zero legacy overhead.

The first 90 days

What success looks like

  1. Month 1

    You will deeply understand our existing prototypes, partner with the founders to lock down the V1 architecture, and ship your first production-ready API integrations across our Next.js, Vercel, and cloud stack.

  2. Month 2–3

    You will lead the end-to-end build of our core matching engine and ElevenLabs-powered voice pipeline, instrumenting observability with Langfuse and Sentry.

  3. By end of Q1

    You will have established a robust, secure, and highly scalable production system ready to process thousands of live, multi-turn voice interviews.

Candidate profile

Who this is a fit for

  • Strong full-stack developer experienced in TypeScript (Next.js/Vercel) and asynchronous Python services.
  • Hands-on creator experienced with modern cloud infrastructure across GCP or AWS.
  • Pragmatic builder who has integrated production voice pipelines (e.g. ElevenLabs) and LLM observability tools like Langfuse.
  • Security-minded engineer who bakes monitoring (Sentry), reliability, and safe data handling into early-stage code.
  • Power user who builds with modern harnesses like Cursor, Claude Code, and Codex.
  • Fast shipper who thrives in 0→1 startup environments with end-to-end technical ownership.

What you get

The offer

  • True founding-team status as Technical Hire #1 with maximum ownership and zero bureaucracy.
  • A high-leverage environment in Berlin (hybrid) with an experienced, ambitious founder team backed by Merantix Capital.
  • Direct ownership of our modern tooling and cloud architecture across GCP, AWS, and Vercel.
  • The chance to define our AI observability and engineering culture from the ground up.

Skills

Next.js · Vercel · GCP · AWS · Sentry · Langfuse · ElevenLabs · LLM · AI · Linear

A quick note

This probably isn't for you if:

  • You need structured Jira tickets, predefined product specs, or corporate hand-holding to start shipping code.
  • You prefer maintaining legacy enterprise systems over the fast-paced ambiguity of 0→1 building.
  • You are uncomfortable making rapid, pragmatic trade-offs between clean architecture and speed to market.

Ready?

Let's talk

If you are ready to build the voice infrastructure that will replace the resume forever, let's talk. Reach out directly to discuss how we can build the future of hiring together.

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