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Description:
We are seeking an AI Engineer to join our team of over 60 software engineers, designers, and makers that have been working together for over 15 years.
As a top Information Technology and Services provider, 99x Americas (formerly Nextly) creates scalable tech solutions for companies in North America and Europe.
The AI Engineer will work alongside this talented team to develop, implement, and fine-tune LLMs to meet our client's business needs.
Responsibilities include developing, testing, and refining prompts for AI models to ensure high-quality outputs.
The role involves implementing and improving embedding techniques for images and text using deep learning models.
The AI Engineer will apply advanced NLP and computer vision techniques to enhance prompt responses and embeddings.
Collaboration with the data team is essential for curating datasets for training and fine-tuning models.
The position requires conducting A/B tests and model evaluations to continually improve prompt outcomes and embedding quality.
The AI Engineer will work closely with product managers and designers to understand application requirements and user needs.
Continuous learning is expected to stay updated with the latest in NLP, prompt engineering, embeddings, and AI ethics.
Requirements:
A Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required.
Candidates must have 2+ years of experience in NLP, machine learning, and/or computer vision, with a strong focus on prompt engineering or embeddings.
Proficiency in Python and deep learning libraries such as PyTorch is necessary.
Experience with NLP frameworks like Hugging Face Transformers, spaCy, and OPENAI is required, along with knowledge of embedding techniques such as word2vec, BERT, and CLIP.
Familiarity with vector databases and similarity search technologies, including MongoDB and Pinecone, is essential.
Knowledge of data cleaning, augmentation, and model evaluation techniques is also required.
Benefits:
Employees can choose their preferred employment model: CLT/PJ/Cooperativa.
The company provides resources for growth and learning on the job, including online courses, mentoring, and the latest generation laptops.
A fully remote work environment with flexible working hours is offered.
There is a bonus for any referrals that result in a hire.