Python Developer at XTEL responsible for developing high - quality Python code and collaborating with the AI team. Focused on optimizing performance and implementing advanced machine learning algorithms.
About the role
- Python LLM Engineer at Caxton Associates developing scalable Python workflows with LLM technology. Focused on integrating Python applications into business processes and optimizing AI model performance.
Responsibilities
- Design and deploy LLM-powered Python workflows that integrate into existing business processes.
- Implement retrieval-augmented generation (RAG) and related architectures to ground LLM outputs in Caxton’s proprietary data.
- Architect secure data integrations, linking models to internal knowledge bases, APIs, and document repositories.
- Automate manual research and operational workflows, delivering measurable efficiency and quality improvements.
- Build and maintain robust data pipelines for document parsing, enrichment, and structured data extraction.
- Develop maintainable, testable Python code to support scalable AI services in production.
- Run pilots and proofs of concept, demonstrating value and best practices for AI adoption across the organization.
- Troubleshoot and optimize model performance, retrieval accuracy, and infrastructure reliability.
- Stay current on advances in LLMs, prompt engineering, and applied machine learning; evaluate and prototype emerging methods.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related technical field.
- Experience in Python development.
- Experience deploying and supporting Python applications and workflows.
- Familiarity with multi-modal data integration and distributed inference architectures.
- Strong problem-solving and communication skills.
- Some knowledge of cloud services – e.g. AWS/Azure would be beneficial.
- Displays and operates at the highest degree of ethics and integrity.
Job title
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