Back-end Python Developer, Lang Chain (Contract)

Back-end Python Developer

• Location: remote, LATAM
• Position Type: Contract, 2-3 months w/ possible extension

Position Summary:
Data Meaning is Leading Business Intelligence consulting company, an Alteryx Premier Partner, Tableau Partner, and a growing organization. We provide top consulting services to companies throughout the US, generating flexible solutions for our clients in the areas of Business Intelligence, Data Warehousing and Project Management.
We are looking for a Back-end Python Developer with a strong background in building and maintaining back-end services with a focus on data privacy and security.
The ideal candidate will have experience and understanding of Lang Chain & Hugging Face, and be proficient in data hashing, sharding, and managing Personally Identifiable Information (PII). At least 5 years of Python experience is required. This role requires a deep understanding of privacy elements and compliance standards as well as professional-level English skills.
Key Responsibilities:

• Design, develop, and maintain back-end systems using Python and related frameworks.
• Implement and manage data hashing and sharding techniques to ensure data integrity and efficient processing.
• Develop and integrate with Lang Chain and Hugging Face to support AI/ML-driven applications.
• Ensure that systems are designed with privacy and security in mind, particularly with respect to handling PII and sensitive data.
• Collaborate with front-end developers, data engineers, and other team members to build robust, scalable applications.
• Monitor and optimize application performance, identifying and resolving potential bottlenecks.

Qualifications:

• Proven experience (5+ years) as a Back-end Developer with a focus on Python.
• Excellent English communication skills (C-level on CEF scale)
• Strong knowledge of Lang Chain and Hugging Face frameworks is required.
• Experience with data hashing and sharding techniques.
• Familiarity with PII handling, privacy regulations (e.g., GDPR, CCPA), and best practices for data protection.
• Proficient in RESTful API design and development.
• Understanding of cloud platforms (e.g., AWS, Azure, GCP) and their data management services.
• Experience with CI/CD pipelines and containerization tools (e.g., Docker, Kubernetes).

Preferred Qualifications:

• Experience with AI/ML model deployment.
• Knowledge of distributed systems and microservices architecture.
• Familiarity with databases such as PostgreSQL, MongoDB, or similar.