Senior Backend Python Engineer, Codelitt

• Working in a fast-paced, always-changing tech environment excites you. Codelitt works on innovation, and that happens fast! The projects we design are architectured for the next year
• You are passionate about communication transparency
• You believe that communication is the core of a collaborative team
• You are a seeker of improvements, lover of feedback, always curious, and never satisfied - continually learning and improving
• You have the grit and motivation to push yourself forward
• 5+ years of Python development experience, with a focus on backend systems
• Strong experience with data integration, APIs, and developing connectors
• Familiarity with AWS services, especially S3
• Experience with data querying and working with both structured and unstructured data
• Strong critical thinking skills and experience working in agile, fast-paced environments
• Knowledge of version control systems (Git) and CI/CD pipelines
• Strong communication skills and the ability to collaborate closely with team members in a hybrid work environment
• Availability to work in the Chicago or Toronto offices at least 1-2 times per week

Desirable

• We are seeking a highly skilled Python Engineer to join a fast-paced AI/ML project focused on integrating large datasets for querying structured and unstructured data
• You will work closely with JLL’s EDP (Enterprise Data Platform) team to build connectors between various data sources and the AI framework
• The role is part of a rapid-development, startup-like environment within a large organization, offering the opportunity to contribute to cutting-edge AI initiatives
• Develop and implement data connectors for structured (SQL) and unstructured (blob storage, documents) data
• Integrate with various third-party applications like CRM systems, AWS (S3), Confluence, and others
• Collaborate with the AI/ML teams to ensure seamless ingestion of data into the AI query platform
• Ensure scalability and performance optimization of the data connectors
• Maintain and update Python-based systems while ensuring code quality through testing and best practices
• Work in close collaboration with the JLL team, including attending in-office meetings 1-2 times per week
• This position is a contracting one. It is a 6 months one with the possibility of renewing for 2+ years