Senior Full-Stack Python / AI /LLM Engineer

  • Drive the production hardening of the current proof-of-concept, including code quality, performance optimization, scalability, and reliability improvements.
  • Establish foundational infrastructure and architectural patterns, including pipeline architecture, logging, configuration management, and error handling.
  • Build and maintain Python-based backend services and REST APIs supporting the AI tagging workflow.
  • Develop and evolve the web user interface, ensuring usability and alignment with engineering standards.
  • Build document processing pipelines for structured and semi-structured documents, including parsing, transformation, and metadata extraction.
  • Work with XML and XHTML processing to handle input data and generate compliant XBRL packages.
  • Integrate and orchestrate Large Language Models within production applications, including prompt engineering, workflow orchestration, error handling, and result evaluation.
  • Collaborate with the R&D team to understand AI tagging improvements and translate them into engineering requirements.
  • Participate in code reviews, architecture discussions, technical design, and production support.
  • Work closely with cross-functional teams to troubleshoot issues and continuously improve the platform.
Success in this role will be measured by the ability to help transition the existing proof-of-concept into a reliable, scalable production platform while improving performance and significantly reducing manual tagging effort.

  • 7+ years of software development experience, with demonstrated experience building production systems.
  • Strong experience with Python and backend software development.
  • Experience building Python-based document processing pipelines, including parsing, transformation, and metadata extraction.
  • Hands-on experience integrating and orchestrating Large Language Models (LLMs) within production applications.
  • Experience with prompt engineering, including designing, tuning, and evaluating prompts for information extraction, classification, and document processing workflows.
  • Experience building web applications and REST APIs.
  • Experience developing AI-powered applications using LLMs.
  • Familiarity with XML, XHTML, and data transformation pipelines.
  • Strong problem-solving skills and comfort working with ambiguity in early-stage products.
  • Excellent communication and collaboration skills.
  • Comprehensive medical, dental, vision, and life insurance
  • Mental health support
  • Savings Fund & Corporate Retirement Plan
  • Paid time off, vacation bonus, and Christmas bonus
  • Career development, certifications, and continuous learning
  • TotalPass wellness program
  • Collaborative culture with internal events and technical communities
  • Opportunity to work on innovative global projects with cutting-edge technologies

See also

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