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.
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