Published: Tue, 10 Jun 2025 08:50:52 GMT
AI Engineer Specialist at Digibee
Digibee is a leading iPaaS company that provides scalable integration workflows at a reduced cost and technical debt. Our platform eliminates the need for specialized integration experts by empowering developers to quickly build, test, deploy, govern, and monitor integrations across on-premise and cloud environments using a simple, yet powerful low-code interface.
Founded in 2017 in São Paulo, Brazil, and headquartered in Weston, Florida, our team is widely distributed throughout the Americas. In May 2023, we closed a successful Series B funding round of $60 million to support our expansion in the United States.
Role Overview
We are seeking a highly skilled and innovative AI Engineer Specialist to join our dynamic team. As an AI Specialist, you will play a crucial role in designing, implementing, and advancing state-of-the-art generative AI models. The successful candidate will collaborate with cross-functional teams to deliver cutting-edge AI functionalities in our Integration Platform.
Key Responsibilities
• Conduct research, design, and development of innovative generative AI models and algorithms.
• Implement and optimize deep learning architectures for generative tasks, with a focus on text generation.
• Collaborate with cross-functional teams to define goals, requirements, and deliverables, and implement features.
• Train and fine-tune models using large-scale datasets and advanced techniques.
• Evaluate and assess model performance, making necessary adjustments to improve results.
• Stay up-to-date with the latest advancements in generative AI trends and tools, and contribute to the team’s knowledge base.
• Write clean, efficient, and maintainable code, following best practices and coding standards.
• Document research findings, methodologies, and technical specifications.
• Participate in code reviews and provide constructive feedback to peers.
• Contribute to the development of tools and frameworks to facilitate generative AI research and development.
• Interpret insights from our pre-sales, sales, customer success teams, and clients to create AI-based features.
Qualifications
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Advanced or fluent English language proficiency.
• Strong understanding of machine learning, deep learning, and generative models.
• Proficiency in Python, TensorFlow, PyTorch, and other deep-learning related tools.
• Familiarity with the Hugging Face Transformers library of pre-trained models, including GPT-2, BERT, and others.
• Experience developing and training deep learning models using large-scale datasets.
• Solid understanding of neural network architectures (CNN, RNN, LSTM, Transformers), optimization techniques, and loss functions.
• Familiarity with natural language processing (NLP) tools and frameworks.
• Strong problem-solving skills and ability to think creatively.
• Excellent communication and collaboration skills.
• Ability to work independently and manage multiple projects simultaneously.
Nice to Have
• Proven experience on projects involving Large Language Models (LLMs) such as GPT, Bard, or LLaMA.
• Familiarity with data engineering and MLOps.
• Experience working with cloud platforms dedicated to training and deploying AI/ML projects, such as SageMaker or Vertex AI.
• Master’s degree in Data Science related fields.
• Familiarity with graphs and GNN.
Location
Brazil / Remote
Perks and Benefits
• Remote-first company with a flexible working schedule.
• Health care coverage.
• Monthly allowance on Caju card for food, meal, mobility, home office supplies, culture, health, and education.
• Life insurance.
• Child care assistance.
• Gympass membership.
• English course partnership for group classes.
Our Culture
At Digibee, we believe in a highly collaborative work environment that encourages constant development and exchange between teams. We value learning, sharing knowledge, and using new technologies to create disruptive ideas. We strive to create something great together!
We embrace and value diversity and are dedicated to promoting a supportive and respectful culture in our community. We welcome all qualified candidates eligible to work remotely in the country of this job posting. However, we are unable to sponsor visas for this position. Apply link