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Hybrid (Berlin, Germany)
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Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Sep 3, 2026.

Overview
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Two AI agents, one on each side of the job market. Nova gets to know candidates and finds the roles they would never have found alone. Atlas brings companies a short list of people who would never have applied.
WhyBrilliant | Berlin (Hybrid) | Full-time | Founding Team Competitive salary + meaningful equity

Voice + LLM Platform (0→1) | Technical Hire #1

Hiring is drowning in noise. CVs and dashboards don’t create understanding. Conversations do.

We’re building WhyBrilliant, a voice-first hiring platform and market network: two voice agents (company + candidate) connected by an insight engine that turns conversations into structured signal-and turns recruiter fees into platform revenue. Career clarity, served hot.

We’re backed by Merantix, one of Europe’s leading Tier 1 AI investors. You’ll join an experienced founder team (product + platform + go-to-market) with early traction already on the board-and a very big ambition for 2026.

This is a massive market. Hiring is a multi-hundred-billion € mess globally, and it’s ready for a new system built on conversations, not forms.

The Exciting Problems You’ll Solve

The heart of WhyBrilliant is a matching engine that doesn’t just "keyword match" CVs. It builds structured truth from messy, human conversations. If you like building systems where product, data, and models collide-this is the main course.

You’ll help us build an engine that can:

  • Extract Signal: Turn voice conversations into clean, reusable signal (skills, intent, constraints, seniority, comp, motivation, culture cues).
  • Reimagine Roles: Model roles as outcome-based success profiles, not static job ads.
  • Ensure Transparency: Do matching that’s explainable (why this person, why this role) instead of relying on black-box vibes.
  • Drive Feedback Loops: Learn over time using signals from the marketplace (interview outcomes, hiring decisions, retention proxies).
  • Build Defensibility: Stay robust against garbage input, prompt attacks, and "creative storytelling" from both sides.
  • Perform at Scale: Work fast and reliably under real constraints (latency, cost, privacy, compliance).

What You’ll Do (Day-to-Day)

This is a founding seat. You’ll own real surface area: architecture, implementation, and hard trade-offs-and you’ll ship fast.

  • End-to-End Build: Construct the core platform from scratch (candidate + employer experience, dashboards, data layer).
  • AI Orchestration: Ship LLM-powered systems including orchestration, retrieval, structured extraction, evaluation, and matching.
  • Voice Engineering: Make voice production-grade by optimizing latency, reliability, flow design, and creating a "this actually feels good" UX.
  • Security by Design: Build a secure stack (auth, secrets, isolation, logging, abuse prevention, safe data handling).
  • Technical Leadership: Own architecture and technical decisions end-to-end, keeping them highly pragmatic.

The Stack (Today)

If you have strong opinions here: great. Bring them. This is a 0→1 build, not a "maintain legacy" job.

  • TypeScript: Next.js
  • Python: FastAPI, async services
  • Database: Postgres (structured + unstructured + vector)
  • Cloud: Modern cloud tooling (optimized for speed + reliability)
  • AI/Voice: Leading LLM providers + modern voice infrastructure

What We’re Looking For

This is not a "tickets in Jira" job. It’s an ownership job.

  • Core Languages: Strong experience with TypeScript (Next.js) and Python (FastAPI, async systems).
  • AI/ML Experience: Proven experience building LLM and ML-based systems (ideally in production, or very close to it).
  • Architecture & Ownership: You’ve owned architecture end-to-end before (or you’ve been the person everyone relied on).
  • Security Mindset: You bake best practices and security into how you build from day one.
  • Execution: You are a hands-on, pragmatic, and fast shipper.
  • Modern Workflows: Excited about AI coding tools (Cursor, Claude Code, Codex)-and you actually use them.

Bonus points if you have: Built low-latency systems, developed voice UX, or worked on data-heavy products dealing with messy inputs.

Why Join?

  • Maximum Leverage: As Technical Hire #1, you have maximum ownership and no passenger seats.
  • Real Upside: Meaningful equity-you are building the core.
  • Top-Tier Comp: Competitive compensation (cash + equity); we want A-players, not bargains.
  • Strong Backing: Supported by Merantix, meaning a high bar, high support, and serious ambition.
  • Rare Timing: Voice + LLMs are finally good enough to reshape workflows people actually hate.
  • Clear Mission: Reduce noise, increase signal, and make hiring feel human again-at scale.

View this role and more opportunities at WhyBrilliant: https://whybrilliant.com/app/jobs/founding-engineer-whybrilliant-berlin

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