Gympass is hiring a
Software Engineer

Summary

The job description is for a Software Engineer position in Wellhub's GenAI team, focusing on generative AI, RAG, and API integrations. The role requires a degree in Computer Science or a related field, strong programming skills, experience with SQL/NoSQL technologies, API development, and excellent problem-solving skills.

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

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)

Benefits

• Health, dental, and life insurance
• Flexible work options: flexible hybrid and full remote
• Flexible schedule
• Wellhub access (Gold plan at no cost, other premium plans significantly discounted)
• Paid time off
• Paid parental leave
• Career growth opportunities
• A supportive and ambitious work culture