Gympass is hiring a
Lead Software Engineer

Summary

The job is for a Lead Software Engineer position at Wellhub's GenAI team in Brazil. The role focuses on generative AI, RAG, and API integrations, and requires 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), teamwork and leadership 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
• 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
• Drive critical projects from the architectural design to implementation
• Plan and successfully deliver cross team projects
• Provide estimates on efforts and risks, evaluating technical feasibility on cross-functional high-impact projects

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 (flexible hybrid and full remote)
• Flexible schedule
• Wellhub access (on-site gyms, digital fitness programs, online wellness resources)
• Paid time off
• Paid parental leave
• Career growth opportunities
• Culture (ambitious people from around the world, value-based culture of trust, flexibility, and integrity)