Seeking a GenAI Engineer: Rhino, are you there?
At WE ARE META, we focus on finding the perfect match between our Rhinos and our clients.
Why join us?
- Expand your network: As a consultant at We Are META, you’ll have access to a network of national and international partners across diverse sectors of the tech industry.
- Enjoy our perks: When you join the crash you’ll have an array of benefits, to help you achieve the best work-life balance.
- Get your perfect match: Our recruiters do their best to get the best position for you, whether in terms of working policy(remote, hybrid, on-site) or the company’s culture.
- Personalized support: With our career coach, we assure that all your needs are being met and you’re being provided everything you need to excel in your professional life because the well-being of our Rhinos is our number one priority.
Perks of becoming a Rhino:
- You’ll get a welcome kit
- Opportunities for career progression
- Live on the edge with our health insurance
- Coverflex meal card
- Other protocols and special discounts
For this position, the perfect Rhino should have the following skills:
- At least 5 years of professional experience in Data Science
- At least 2 years of hands-on experience in Generative AI (GenAI)
- Proven experience working with Large Language Models (LLMs) and other GenAI technologies
- Experience in GenAI projects, with knowledge in areas such as Natural Language Processing (NLP), Computer Vision, or Content Generation
- Strong understanding and practical experience in Prompt Engineering
- Experience with Retrieval-Augmented Generation (RAG), including parsing methods, VectorDB, and retrieval techniques
- Proficiency in Python
- Experience with open-source GenAI platforms such as Hugging Face or similar (preferred)
- Familiarity with evaluation techniques such as LLMs-as-Judges or frameworks like Ragas/LLMOps (preferred)
- Fluency in English and Portuguese (B2)
- Availability for hybrid work in Porto or Lisbon
If you're ready to join the crash and become a Rhino, apply to: j<endereço ocultado>
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