Product Engineer (AI)

Location

Barcelona

Employment Type

Full time

Location Type

Remote

Department

Engineering

Hello ✨

We’re HappyScribe, a profitable, 100% bootstrapped AI company based in Barcelona.

We built one of the web’s most accurate multilingual transcription platforms, trusted by hundreds of thousands of users each month. That product funds our freedom to create what’s next—no investors, no burn rate, just focus.

Now we’re taking that same tech and expertise to a bigger frontier: turning conversations into intelligence. We’re building the layer where speech becomes memory, insights become action, and teams work with more clarity and speed.

You’d be joining a team of \~20 people, close-knit and pragmatic. Some of us are scaling a mature, revenue-generating platform. Others are prototyping new products that push the limits of speech and agentic AI.

We move fast but think long-term. There’s room here to shape, ship, and own real products — not pitch decks.

About the role…

We're looking for a Product Engineer to work on the AI layer that powers HappyScribe Intelligence features. You'll work directly with Marc (co-founder) and Ignasi (CPTO) to build features that bring together LLMs, speech models, and retrieval systems to address real user problems.

This role is for builders obsessed with making AI actually work — engineers who'd rather ship a clever prompt chain that solves a real problem than debate model architectures in Slack or over-engineer multi-agent frameworks that become quickly obsolete.

What you will do…

Own AI features end-to-end — from problem discovery to prompt design to production. You'll build the systems that turn conversations into intelligence: summaries, search, actions, memory.

Build and maintain our evaluation framework. You'll design evals that actually catch regressions, iterate on prompts with confidence, and keep quality high as models change under us.

Optimize our AI infrastructure for speed, cost, and reliability. Provider routing, caching strategies, chunking approaches, latency budgets — you'll own the trade-offs.

Stay dangerously current. The field moves weekly. You'll bring new techniques to the team and know when a new model or approach is worth the migration cost.

Ship with the product team. You'll work closely with designers and engineers to integrate AI features that feel native, not bolted on.

Example projects:

• Design and ship semantic search across transcripts using embeddings and hybrid retrieval.

• Build an agentic system that turns meeting notes into drafted emails, tasks, and follow-ups.

• Create a prompt evaluation pipeline that catches quality regressions before users do.

What you will bring…

You're a seasoned engineer (5+ years) who's spent the last 2+ years deep in AI applications. You’ve shipped LLM-based features to production — not demos, not notebooks, real products with real users.

You stay current by doing, not just reading. New model drops Tuesday, you've tested it by Thursday, and you know whether it's worth a migration or just hype.

You're fluent in prompt engineering, RAG architectures, and evaluation frameworks. You've debugged retrieval that returned garbage and prompts that hallucinated confidently.

You think in trade-offs: latency vs. quality, cost vs. capability, speed-to-ship vs. technical debt. You make calls and move.

You're product-minded. You care more about solving user problems than implementing cool tech. You'll kill a feature that doesn't work.

You’re comfortable with our stack or quick to learn:

• Rails, Turbo (Hotwire), and some React on the product side.

• dbt Snowflake Metabase/Hex/Mixpanel for analytics (we don’t have a dedicated Data team).

You are excited about our engineering principles and most of the Rails doctrine clicks with your style of work.

Bonus points if…

You've shipped AI features in B2B SaaS where reliability and accuracy actually matter.

You've built multi-provider LLM systems with fallbacks, routing, and cost optimization.

You've designed retrieval systems at scale — embeddings, reranking, hybrid search.

You have experience with speech or audio AI — transcription, diarization, or real-time processing.

Company Culture

A company culture built on trust, autonomy, and independence

️ We're remote-first, office-encouraged — We work asynchronously and with high trust, but value in-person collaboration for creativity and speed.

️ Flexible working hours — Work on the schedule that makes you the happiest and productive.

Beautiful office in Gràcia — One of the best areas in Barcelona. Our offices are much more than just a place to work. We like to see them alive 24/7, filled with friends and creative activities. Want to organise a community event, a breakfast with peers? The place is yours. .

International, English-only speaking environment — We're building an international team and want to create an inclusive environment where anyone can join any conversation at any time, even if it’s just kitchen talk. That's why you'll find Italian, French or Catalan people talking in English to each other.

What we offer...

Competitive salary — our salaries are in the top percentiles of the Barcelona startup scene.

Equity — By joining the company when the team is so small, you’re helping us set the foundations of our future success. We're asking you to come on an adventure, so if we find a treasure, we want you to get a piece.

️ 25 days per year vacation time — To relax and recharge your batteries whenever you need to.

The hardware that you need to be most productive.

Private Health Insurance — We have partnered with Alan to best take care of our team both in Barcelona and while they’re on the road, covering half of the full price of the medical coverage.

Monthly savings — Use part of your gross salary for meals, public transport, or nursery services through Cobee and enjoy income tax savings on everyday expenses.