AI role · Open offer

NLP Engineer — health copilots

DabaDoc

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At a glance

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

Employment: Full-time
Workplace: Hybrid
Location: Casablanca Finance City, Casablanca, Casablanca-Settat 20250, Morocco · Hybrid
Compensation: MAD 28k–42k/month + equity
Experience level: Senior
Team: Health AI
Benefits & perks

About this role

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

DabaDoc is hiring a Senior NLP Engineer — health copilots on the Health AI team (Hybrid · Casablanca, Morocco). 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.

DabaDoc is Morocco's leading health booking platform — millions of patients and practitioners across Casablanca and MENA.

NLP Engineer (hybrid Casablanca Finance City): triage copilots, appointment Q&A, and medical entity extraction in French and Arabic.

Missions

Build Arabic/French NLP pipelines with clinician-in-the-loop QA.
Deploy LLM assistants with HIPAA-style privacy and audit logs.

Stack & environment

Python, NLP, LangChain, AWS, Docker.

What we look for

Healthtech or NLP prod experience; work authorization Morocco.

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.
NLP

Tools & stack

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

AWSTool
Regular use of AWS in the LLM & generative AI stack—configuration, debugging, and team conventions.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

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: NLP or LLM feature in healthcare booking, triage, or patient Q&A.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, NLP, Machine Learning, and AWS.
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 are comfortable with the hybrid rhythm (Hybrid · Casablanca, Morocco)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

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What the employer asked for

NLP or LLM feature in healthcare booking, triage, or patient Q&A.

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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