Technology And Product Software Engineer | Genai Brazil (Remote)

Detalhes da Vaga

Your wellbeing matters. Join a company that cares.
GET TO KNOW US
Wellhub (formerly Gympass) is a corporate wellness platform that connects employees to the best partners for fitness, mindfulness, therapy, nutrition, and sleep, all included in one subscription designed to cost less than each individual partner. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 countries. At Wellhub, you have the opportunity to build a career in a high-growth tech company that places wellbeing at the foundation of its culture, and contribute to making every company a wellness company.
*Big news: Gympass is now Wellhub! We are thrilled to announce our rebranding as Wellhub, marking a significant milestone in our journey. This transformation reflects our evolution from a "pass for gyms" to a comprehensive employee wellbeing solution. With our refreshed identity, we are poised to embark on an exciting new chapter of growth and expansion. We are elevating our offerings, including a completely new app experience and an expanded network of wellbeing partners.
THE OPPORTUNITY
We are hiring a Software Engineer for our GenAI team in Brazil! Our GenAI team leverages advanced AI technologies to personalize user experiences, streamline operations, and optimize resources, acting as a hub for innovation while enabling Wellhub to harness the full potential of generative AI across multiple domains.
We are looking for a passionate and skilled Software Engineer to join our team and help us build the next generation of AI-powered solutions. This role focuses on generative AI, Retrieval-Augmented Generation (RAG) + LLMs fine-tuning, and API integrations. Talented software engineers of any area who would like to shift their career to invest in AI are welcome to apply if they are a match to some of the qualifications and preferred qualifications listed below. Such candidates must be avid learners and be prepared to learn fast.
YOUR IMPACT
You will be working on one or more of the following exciting areas:
Generative AI Development:

Design, develop, and implement generative AI based applications.
Work with large language models (LLMs) to create innovative applications and solutions.
Conduct research to stay updated with the latest advancements in generative AI.

Retrieval-Augmented Generation (RAG):

Develop and optimize RAG systems to enhance the performance and accuracy of AI models.
Implement robust data retrieval mechanisms to support RAG frameworks.
Collaborate with data engineers to ensure seamless integration of data pipelines.

API Development and Integration:

Design and develop APIs to interface with various AI models and services.
Ensure APIs are secure, scalable, and performant.
Ensure seamless integration of our AI applications with other software systems, enhancing interoperability and functionality.

Collaboration and Communication:

Work closely with cross-functional teams including product managers, designers, and other engineers.
Participate in code reviews and provide constructive feedback to peers.
Communicate technical concepts and project progress effectively to non-technical stakeholders.

WHO YOU ARE

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
Strong skills in programming languages such as Python, Go, Java, C or C++.
Experienced in working with SQL/NoSQL technologies (e.g., OpenSearch, DynamoDB, PostgreSQL) understanding common use cases and performance pitfalls.
Experience with API development and integration.
Excellent problem-solving skills and attention to detail.
Strong communication (both in English and Portuguese) and teamwork skills.
Able to work efficiently on high scalable and distributed projects.
Proven experience with projects where the scope is not clearly defined.
Faster learner, easily adapting to new technologies quickly and efficiently.
Passionate and proven experience to build reliable minimum viable products and pilots in a short amount of time.

The following are preferred qualifications:

PhD degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
Proven experience with one or more topics listed in the Responsibilities section.
Familiarity with large language models, generative AI frameworks.
Knowledge of retrieval-augmented generation (RAG) and related technologies.
Experience with cloud platforms (e.g., AWS, GCP, Azure).
Knowledge of data engineering and ETL processes.
Experience with machine learning frameworks and libraries.
Understanding of natural language processing (NLP) and computer vision.
Experience with Kubernetes for containerization and orchestration.

WHAT WE OFFER YOU
We're a wellness company that is committed to the health and wellbeing of our employees. Our flexible program allows you to customize your benefits, according to your needs!
Our benefits include:

WELLNESS: Health, dental, and life insurance.
FLEXIBLE WORK: At Wellhub, flexibility fosters a happier, healthier, and more productive work environment for everyone. As a Flexible First company, we offer two work model options: flexible hybrid and full remote, and make the office a place for collaboration, community, and team building.
FLEXIBLE SCHEDULE: Wellhubbers and their leaders can make the best decisions for their scope. This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs.
WELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing too. Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more.
PAID TIME OFF: We know how important it is that our employees take time away from work to recharge. Vacations after 6 months and 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + extra day off for your birthday.
PAID PARENTAL LEAVE: We offer 100% paid parental leave to all new parents and extended maternity leave.
CAREER GROWTH: Outstanding opportunities for personal and career growth.
CULTURE: An exciting and supportive atmosphere with ambitious people from around the world!

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Fonte: Whatjobs_Ppc

Função de trabalho:

Requisitos

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