AI role · Open offer

NLP Engineer — Multilingual LLM features

Market index

Focus: Industrial AI

Paris · 50-100 employees · Startup · GenAI: No

Fixed-term (CDD)
Full-time
Senior
Language tech
Remote
Warsaw, Poland · Remote EU
PLN 35k–48k gross / month

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Fixed-term (CDD), Full-time
Workplace: Remote
Location: Warsaw, Poland · Remote EU
Compensation: PLN 35k–48k gross / month
Experience level: Senior
Team: Language tech
Benefits & perks

About this role

What the team is looking for and how this position fits.

Scortex is hiring a Senior NLP Engineer — Multilingual LLM features on the Language tech team (Remote · Warsaw, Poland). 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.

Warsaw NLP squad improves cross-lingual retrieval, translation quality gates, and locale-specific safety filters as we expand across CEE and Western Europe.

Remote-EU friendly with quarterly on-sites.

What you will do

Fine-tune and evaluate multilingual encoders for domain-specific corpora.
Build lexical + neural hybrid pipelines where low-resource languages matter.
Partner with localization on evaluation sets and tonal guidelines.
Optimise inference cost per locale with caching and distilled models.
Maintain benchmarks comparing proprietary vs OSS LLM backends per market.

What we look for

4+ years NLP engineering with measurable production launches.
Python + transformers ecosystem fluency.
Passion for linguistic nuance—not only English-centric benchmarks.

Nice to have

Experience with GDPR language diversity requirements.
Speech-text cross-modal exposure.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
OpenAI API

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

Vector DBsTool
Embedding storage, hybrid search, and freshness strategies for RAG and semantic retrieval.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Example of a language-specific failure mode you fixed.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, OpenAI API, and Vector DBs.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You communicate clearly in writing, document decisions, and can overlap with the team’s core hours for pairing and incident response.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: PLN 35k–48k gross / month, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

Example of a language-specific failure mode you fixed.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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