Python Developer - Natural Language Processing & Large Language Model Focus

Summary

Join our team as a Python Developer with a focus on NLP and LLMs, where you will design, develop, and deploy solutions for accurate information extraction from documents. You will leverage cloud-based text extraction models and LLMs from OpenAI and Anthropic, work with NLP models for language processing and data classification, and troubleshoot issues in data pipelines and model performance. This role requires strong analytical and problem-solving skills, experience with Python, NLP, and LLMs, and a solid understanding of software development best practices and data pipeline design. You will collaborate with cross-functional teams, ensure code quality and maintainability, and optimize existing models for efficiency and scalability.

Requirements

• Minimum of 5 years of experience in Python with a focus on NLP
• 1 year of hand-on integration and model execution experience  with LLMs from OpenAI and/or Anthropic
• Experience working with relational databases like PostgreSQL and no-SQL databases like MongoDB
• Engineering degree in Computer Science or equivalent
• Solid understanding of software development best practices and data pipeline design
• Experience with Git, CI/CD pipelines, and cloud deployment (AWS, or Azure)
• Strong problem-solving skills and ability to work in an agile environment
• Excellent communication and interpersonal skills

Responsibilities

• Design, develop, and deploy Python-based solutions to accurately extract and normalize information from documents
• Use cloud-based text extraction models and LLMs from OpenAI and Anthropic
• Work with NLP models for language processing / data classification
• Evaluate / compare model output
• Troubleshoot issues in data pipelines and model performance, and implement effective solutions to address performance and accuracy issues
• Collaborate with cross-functional teams to understand requirements, design solutions, and deliver high-quality code
• Ensure code quality, documentation, and maintainability across projects
• Optimize existing models and systems for efficiency and scalability

Preferred Qualifications

• Experience working with text extraction models (e.g., OCR, NLP-based extractors)
• Experience implementing fuzzy (non-exact) matching logic using tools like OpenSearch or similar technologies
• Familiarity with International Trade Documents and domain-specific data

Benefits

• Work remotely
• Work on cutting-edge AI/ML models with real-world impact
• Flexible engagement model: full-time or contract
• Collaborative and innovative team environment
• Competitive compensation aligned with your experience and expertise