Principal Engineer, Enterprise AI Platform

• Conversations beat CVs. That's the conviction behind Hirevoice. Our AI interviewer gives every candidate a real shot at showing how good they are — and gives employers signal they can actually trust. But we're building more than an interviewer: an enterprise AI platform.

• Co-founded by Nacho González-Barros (founder of InfoJobs & Hireflix). Global and enterprise (current average ARR per costumer: 100k) from day one. Well-funded by a tier-1 VC and 10+ business angels with exits under their belt.

• We’re building an enterprise AI platform that stays startup‑fast, with minimal bureaucracy. We’ve already achieved product-market fit. About us: https://www.elmundo.es/economia/empresas/2026/05/31/6a19bfc9fdddff06268b4570.html

• Your mission: build the technical backbone of that platform — robust without getting slow, compliant without getting heavy, customizable without fragmenting, AI-agent-native from day one.

Key Responsibilities

• Build an enterprise AI interviewing platform capable of absorbing client-by-client variation without fragmenting or losing development speed.
• Turn specific client needs into reusable platform capabilities — no per-client hacks, no parallel product branches.
• Design a technical foundation that lets you iterate fast with confidence: critical flows tested, real observability, safe releases, and errors surfaced before the client sees them.
• Integrate compliance, modular architecture, and scalable integrations as part of the system’s core — not as layers bolted on at the end.

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• Leverage AI agents across development, QA, debugging, triage, incident response, documentation, and refactoring to multiply the team’s capacity.
• Shrink the latency between a signal in production and a deployed fix through better feedback loops, tooling, and software operations.
• Lead technically from a hands-on position — making architecture, infrastructure, and product decisions with an enterprise-platform mindset.
• Think in abstractions, primitives, and operational reliability every time custom requests, complexity, or production bugs show up.

Requirements

• 3+ years as Tech Lead, Principal Engineer, Head of Engineering, or technical owner at CTO level.
• Experience building product for real enterprise clients.
• Experience with production, reliability, integrations, security, or compliance.
• Advanced use of AI agents, LLMs, and AI-native workflows in software development.
• Massive agentic coding skills: claude code/codex expert.
• Product sensibility: flows, edge cases, error states, and acceptance criteria.
• Obsession with production quality.
• Ability to lead technically while remaining deeply hands-on.
• You’ve had to live with the consequences of your own technical decisions in real systems.

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Nice to Have

• Experience in AI, LLMs, agents, HR tech, recruiting, or workflow automation.
• Having taken an MVP to an enterprise platform.
• Agentic-maxxing mindset: using AI agents as real leverage for one person or a small team, not as a gimmick.

Personal Traits & Working Style

• Deeply technical profile, obsessed with infrastructure, architecture, and product.
• Someone who sees custom requests and thinks abstractions; who sees bugs and thinks feedback loops; who sees complexity and thinks primitives.
• Not a Jira manager — someone who builds the system and works with AI agents as second nature.

Salary & Location

• €60k–€100k + Equity, depending on experience and seniority.
• BCN vs Remote: We prefer engineers who can work onsite in Barcelona (our 6-person team is currently 100% based onsite in the city), but we prioritize talent and are open to 100% fully remote positions.