Senior Data Scientist – Generative AI & Retrieval

About the role

We are seeking a Senior Data Scientist II to shape the next generation of AI‑powered legal technology. The role focuses on building reliable, scalable applications that turn advanced generative AI, retrieval‑augmented generation and agentic AI systems into impactful customer solutions.

Key responsibilities

• Architect modular agentic applications with clear separation of retrieval, prompt construction, model invocation, tool execution, state management, orchestration and response formatting.
• Refactor complex or legacy Python code to improve correctness, readability, modularity, extensibility, testability and runtime performance.
• Own production readiness for AI components, including input validation, exception handling, timeout management, retries, fallback behavior and secure credential handling.
• Establish observability for LLM and retrieval workflows through structured logging, metrics, distributed tracing, alerting and actionable error reporting.
• Design clear interfaces and data contracts between retrieval, orchestration and model layers.

Required profile

• Deep expertise in Generative AI, Retrieval‑Augmented Generation (RAG) and agentic AI systems.
• Strong software‑engineering fundamentals with a proven track record of delivering production‑grade machine‑learning applications.
• Ability to independently design, test, review, deploy and support clean Python applications.
• Experience working in monorepo environments and collaborating across cross‑functional teams.

Required skills

• Advanced proficiency in Python.
• Experience with OpenSearch or Solr.
• Familiarity with monorepo development workflows.