Summary
A financial data platform is looking for an AI/ML Engineer to build the LLM-driven pipelines that turn messy financial documents into clean, actionable data. This is a chance to work hands-on with RAG, agent harnesses, and cutting-edge NLP on problems with real commercial stakes.
Company Information:
A next-generation financial data platform built to extract meaningful signal from complex financial documents and turn it into data clients can act on.
Job Description:
- Optimize extraction algorithms using cutting-edge NLP techniques, including RegEx, spaCy, and tries
- Design and build LLM-based algorithms and workflows, including RAG, CAG, MCPs, agent harnesses, and prompt engineering
- Develop methods to track the accuracy, precision, and efficiency of data extraction systems
- Partner with Data Analysts and Product to understand and translate client data needs
- Collaborate cross-functionally in an Agile environment using modern project management practices
Requirements / Qualifications:
- 6+ years of experience at a startup, financial institution, or technology company
- Strong Python fundamentals with production experience
- Solid understanding of how LLMs work, including their strengths and limitations
- Working knowledge of databases and data warehouses
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Self-directed, with strong communication skills bridging technical and non-technical teams
