**About Digibee**

Digibee is an iPaaS that scales integration workflows while reducing cost and technical debt. Rather than require specialized integration experts, Digibee lets every developer quickly build, test, deploy, govern, and monitor integrations across on-premise and cloud environments using a simple but powerful low-code interface.

Founded in São Paulo, Brazil, in 2017 and headquartered in Weston, Florida, our team is widely distributed throughout the Americas. In May of 2023, Digibee closed a Series B funding round of $60 million that is intended to drive our expansion in the United States.

**About the role**

We are seeking a highly skilled and innovative Senior AI Engineer to join our dynamic team. As a Senior AI Engineer, you will play a key role in overseeing the whole process of designing and implementing advanced state-of-the-art AI models. This includes classic Machine Learning models, Deep Learning, and specially Generative AI. Also, the Senior AI Engineer will play a key role in automating and orchestrating pipelines, using MLOps techniques to increase the efficiency of designing and serving models.

The successful candidate will collaborate with cross-functional teams, contributing to deliver cutting-edge AI functionalities in Digibee Integration Platform.

### **On a typical day, you will…**

- Collaborate with cross-functional teams to define goals, requirements, and deliverables and implement the features.
- Research and benchmark how AI is being used in low-code softwares specially in the iPaaS industry, in terms of architecture, tech stacks, and other relevant technical aspects.
- Research, design, and develop innovative generative AI models and algorithms, applying techniques such as Mixture of Experts, Fine-tuning, and RAG, in order to increase the quality of inference, performance, and scalability.
- Design and deployment of complex cognitive architectures, using tools such as LangChain, vector databases and others to orchestrate Multi-LLMs third parties, chains, agents, and prompts.
- Implement and optimize deep learning architectures for generative tasks, focused on text generation.
- Research, design, and develop models and algorithms using machine learning and deep learning techniques.
- Evaluate and assess models' performance, inference, scalability, and costs, 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 AI research and development.
- Interpret insights from our pre-sales, sales, customer success teams and clients to create AI-based features.

### 

### **What you’ll need to bring**

- Masters or PhD 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 GPTs, BERT, BERTa 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.
- Familiarity with tools to design and operate complex cognitive architectures, LangChain, vector databases, Multi-LLMs controllers.
- Strong problem-solving skills and ability to think creatively.
- Excellent communication and collaboration skills.
- Ability to work independently and manage multiple projects simultaneously.
- Experience working with cloud platforms dedicated to perform MLOps tasks such as SageMaker or Vertex AI.
- Experience with platforms such as Prometheus, Grafana, etc to ensure comprehensive visibility into the performance, accuracy, and reliability of AI models and the underlying infrastructure
- Experience in architecting complex software systems using microservices, serverless architectures, or event-driven architectures to support scalable AI solutions.
- Knowledge of relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design, query optimization, and data modeling techniques.
- Experience in designing, developing, and consuming RESTful APIs and understanding of web services architecture. Knowledge of API security, authentication, and authorization practices.
- Deep understanding of software development life cycle (SDLC) methodologies, including Agile, Scrum, and Waterfall, to efficiently collaborate in a fast-paced development environment.

**Nice to have**

- Familiarity with manipulation of Open Source LLMs, using techniques such as merging and MoE.
- Familiarity with graphs and GNN.
- Knowledge of reinforcement learning techniques and their application in real-world scenarios, including model-based and model-free approaches, multi-agent systems, and deep reinforcement learning.
- Familiarity with distributed computing systems and technologies such as Kubernetes, Docker, and cloud-based scalable infrastructure to manage the deployment and scaling of AI models.
- Familiarity with data engineering practices, including the use of ETL tools, data warehousing solutions, and real-time data processing frameworks (e.g., Apache Kafka, Spark).

**Location**

Brazil / Remote

Senior AI Engineer

**About Digibee**

Digibee is an iPaaS that scales integration workflows while reducing cost and technical debt. Rather than require specialized integration experts, Digibee lets every developer quickly build, test, deploy, govern, and monitor integrations across on-premise and cloud environments using a simple but powerful low-code interface.

Founded in São Paulo, Brazil, in 2017 and headquartered in Weston, Florida, our team is widely distributed throughout the Americas. In May of 2023, Digibee closed a Series B funding round of $60 million that is intended to drive our expansion in the United States.

**About the role**

The Digibee Platform is a technical platform, available as SaaS, that enables building high-performance, complex integrations to enable and accelerate building new mission-critical products.

### **On a typical day, you will…**

- Manage the team backlog: identifying, writing, prioritizing and refining value-adding deliverables
- Collaborate with Design and Engineering to Discover impactful deliveries
- Look for opportunities to shorten the time-to-value for Digibee and its customers
- Make data-driven decisions
- Think the whole Value Journey, from conception to implementation and release, interacting with Product Communication, Product Marketing and Education to promote the best possible experience for both the customer and Digibee supporting teams
- Identify, manage and share with teams and Product Leadership team interdependencies for decision making
- Intensively interact with the Product Leadership team to ensure team objectives are aligned with the company objectives

### 

### **What you’ll need to bring (Hard Skills)**

- At least 3 years of experience in Product Management, preferably with technical products
- Fluent written and spoken English
- Have previous Technical Product Management experience is desirable
- Have previous experience with software development or is desirable
- Previous experience with Agility (Scrum, Kanban)

### **What you’ll need to bring (Soft Skills)**

- Critical thinking and problem solving
- Ability to talk to people with different backgrounds and expertises (technical, non-technical, sales, support, communication)
- Interact with other Product Managers
- Be a team player
- Know how to express yourself through writing and speaking
- Conflict resolution skills
- Be curious and not afraid of asking unsettling questions
- Always look for new and better ways to work
- Share your knowledge, be open to learn from others

**Location**

Brazil / Remote

**Our perks and benefits**

- We’re remote first, with a flexible working schedule
- Health care
- R$ 1.200,00/month on Caju card (for food and meal allowance, mobility, home office supplies, culture, health, and education)
- Life insurance
- Child care assistance
- Gympass
- MacBook setup to work
- English course: we have a partnership for group classes for R$100 monthly

**Our culture**

We believe in a highly collaborative work environment in order to foster constant development and exchange between teams. We encourage learning, sharing knowledge, and using new technologies to create disruptive ideas - we want to create something great together!

At Digibee, we know it's our people who make the difference. We embrace and value diversity and are dedicated to encouraging a supportive and respectful culture in our community.

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We are interested in every qualified candidate eligible to work remotely in the country of this job posting. However, we are not able to sponsor visas for this position.

Product Management Specialist

**About Digibee**

Digibee is an iPaaS that scales integration workflows while reducing cost and technical debt. Rather than require specialized integration experts, Digibee lets every developer quickly build, test, deploy, govern, and monitor integrations across on-premise and cloud environments using a simple but powerful low-code interface.

Founded in São Paulo, Brazil, in 2017 and headquartered in Weston, Florida, our team is widely distributed throughout the Americas. In May of 2023, Digibee closed a Series B funding round of $60 million that is intended to drive our expansion in the United States.

**About the role**

Contribute disruptive ideas to our Integration Platform, making it robust and scalable. Be very rigorous in decisions and in the development of clean, secure and sustainable code.

### **On a typical day, you will…**

- Participate in discussions about architectural solutions and what would be the best methods to solve a given problem;
- Conduct maintenance and development of new features from beginning to end;
- Participate in peer code reviews, contributing to the quality of the code we deliver;

### **What you’ll need to bring**

- For 5 years of experience in software development using Java;
- Experience using Camel, Spring or Quarkus;
- Experience in developing solutions based on Open Container, Kubernetes and Cloud Computing;
- Experience implementing observability mechanisms (metrics, tracing, logging);
- Experience in developing distributed solutions using micro services, messaging and streaming;
- Unit Testing (Cucumber: BDD Testing);
- Experience in agile models (Scrum/Kanban);
- Experience in developing solutions using NoSQL databases (MongoDB and ElasticSearch) and Relational Databases (MySQL, PostgreSQL and/or Oracle);
- Experience with Git version control;

### **Nice to Have**

- Knowledge in Kotlin, Scala and Go programming languages;
- Knowledge in Functional programming;
- Continuous Integration and Continuous Deployment;
- Knowledge in Static Analysis and Dynamic Analysis of code.

**Our perks and benefits**

- We’re remote first, with a flexible working schedule
- Health care
- R$ 1.200,00/month on Caju card (for food and meal allowance, mobility, home office supplies, culture, health, and education)
- Life insurance
- Child care assistance
- Gympass
- MacBook setup to work
- English course: we have a partnership for group classes for R$100 monthly

**Location**

Brazil / Remote

Senior Backend Software Engineer

Digibee

Founded in 2017, the Digibee team is based throughout the Americas with offices in Weston, Florida, and Sao Paolo, Brazil.

Our platform allows enterprises to compete and excel in today’s rapidly changing digital environment. The technology is cloud native, low code, fully recyclable, and discoverable—connecting applications,
processes, and people for faster time-to-market without a major investment.

Ten times faster than other systems, Digibee is the preferred iPaaS solution for 250+ corporate customers including Assai, B3, Barkley, Bauducco, GoPro, Oobe, Payless, and others.

Digibee

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