Gympass is hiring a
Senior Software Engineer

Summary

The job is for a Senior Software Engineer position in the GenAI team of Wellhub, a corporate wellness platform that offers a comprehensive employee wellbeing solution. The role involves working on generative AI development, Retrieval-Augmented Generation (RAG), and API integrations.

Requirements

• 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

Responsibilities

• 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
• 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
• 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 (e.g., WhatsApp, Slack, Teams, Google Chat, and other 3rd party mobile applications)
• 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

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 (e.g., Haystack, Langchain, LlamaIndex, HuggingFace, Ollama, AWS Bedrock)
• 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 (e.g., Spark, Flink)
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
• Understanding of natural language processing (NLP) and computer vision
• Experience with Kubernetes for containerization and orchestration

Benefits

• Health, dental, and life insurance
• Flexible work model options: flexible hybrid and full remote
• Home office stipend and a monthly flexible work allowance to help cover the costs of working from home
• Flexible schedule
• Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more
• Paid time off: 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: 100% paid parental leave to all new parents and extended maternity leave
• Career growth opportunities
• An exciting and supportive atmosphere with ambitious people from around the world!