الوصف الوظيفي
AI is useful when it reduces real work—not when it becomes a demo that never reaches users.
ErthDev is looking for an AI / ML Engineer to help integrate practical machine-learning and AI capabilities into client products and internal tools.
You'll focus on applied systems: reliable pipelines, evaluation, and product-ready integrations.
What you'll do
- Prototype and implement AI/ML features for products.
- Evaluate models, prompts, and approaches against clear success criteria.
- Build data preparation and inference pipelines.
- Integrate AI services into backend and product workflows.
- Measure quality, cost, latency, and failure modes.
- Collaborate with product, backend, and security teams on responsible usage.
- Document assumptions, evaluation results, and operational constraints.
- Improve monitoring for AI-powered features.
- Help teams decide when AI is the wrong tool.
- Protect client data and confidentiality in AI workflows.
AI at ErthDev
We treat AI as a product capability with risk, cost, and quality constraints.
We care about evaluation, privacy, and operability—not hype cycles.
What you'll get
- Fully remote work from Egypt
- Flexible working hours with collaboration overlap
- Cairo office access when needed
- Paid annual leave and sick leave
- Performance bonuses and annual salary reviews
- Learning and development support
- Courses and certifications
- Conference opportunities
- Equipment and internet support
- Medical insurance
- Mentorship and career growth
- Exposure to projects across different industries
Hiring process
Application → Initial Conversation → Practical Assessment → Technical Interview → Final Conversation → Offer
If you can separate useful AI from impressive demos, we'd like to talk.
Apply through LinkedIn Easy Apply or the ErthDev careers page.
المتطلبات
What we're looking for
- Practical experience shipping AI/ML features or prototypes into production-adjacent systems.
- Strong Python skills.
- Understanding of model evaluation and failure analysis.
- Familiarity with LLMs and/or classical ML workflows.
- Ability to work with APIs, data pipelines, and backend engineers.
- Clear communication of uncertainty and trade-offs.
- Security and privacy awareness.
- Product-minded problem solving.
Experience with PyTorch, scikit-learn, vector search, LangChain/LlamaIndex (or equivalent), cloud ML services, and evaluation frameworks is a plus.
