Mediterra Language AI is hiring a Senior Senior NLP Engineer — multilingual LLM fine-tuning on the NLP team (Remote · Barcelona, Spain). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Mediterra — LoRA/QLoRA workflows for ES/EN/FR customer support bots; eval sets per locale.
Remote Spain with quarterly Barcelona meetups.
Mediterra Language AI needs someone who can move LLM features, retrieval, agents, and evaluation from experiment to production—with tests, monitoring, and stakeholder-ready communication.
The NLP group partners closely with product and domain experts; you will translate ambiguous requirements into measurable ML or LLM outcomes.
What you will do
- Design and ship LLM features, retrieval, agents, and evaluation with offline evals, dashboards, and rollback plans.
- Improve datasets, labeling, and metrics that correlate with user or business outcomes.
- Review model changes for safety, bias, latency, and infrastructure cost before wide release.
- Document decisions so on-call, support, and compliance teams can act without guesswork.
- Collaborate async with written specs, demos, and recorded design reviews.
What we look for
- Demonstrated production use of core skills such as Python, PyTorch, OpenAI API, LangChain—with repos, writeups, or metrics we can verify.
- Comfort operating the listed toolchain (Docker, Vector DBs) in real environments—not tutorials only.
- Ownership of at least one feature or model from design through post-launch review—including failure modes you handled.
- Clear communication on trade-offs (quality, cost, latency, safety) with product and non-technical stakeholders.
- Eligible to work in Spain (or remote policy as stated in the listing).
Benefits & ways of working
- Co-working stipend, conference budget.