AI Data Engineer, Data Platforms

We are seeking a Senior AI Data Engineer, Data Platforms , to work day-to-day with agentic coding harnesses (e.g., Claude Code), breaking work into well-scoped tasks, directing AI agents to build and modify code, and reviewing output with calibrated scrutiny - spec-first, tested, and accountable for what your agents produce. Responsibilities Maintain, refactor, and extend the line’s AI applications and services in production Build agentic-friendly software: the tools, services, and workflows that LLM-based agents call Design AI workflows that combine models, prompts, tools, enterprise data, and business logic Validate model behavior, outputs, and assumptions from an engineering and production perspective Design and maintain evaluation frameworks for AI/LLM systems, including test suites and human evaluation workflows Write evaluations and quality checks for agent behavior, and build in grounding and assurance Ensure reliability, scalability, cost control, and latency optimization Help

bring new agentic systems into production Requirements 5+ years of experience in strong software engineering, primarily in Python, with other modern languages (TypeScript, Java, Kotlin) acceptable where production-quality code delivery is demonstrated Forward Deployed Engineer mindset, with a desire to understand the business problem and the impact of the solution, and drive pragmatic decisions toward realizing it, including API, service, and integration engineering Proficiency in LLM application patterns (prompting, retrieval-augmented generation, tool/function calling) and proven agentic development practice Expertise as a daily practitioner of agentic coding harnesses (e.g. Claude Code), including spec-first decomposition, directing agents to build and modify production code, and critically reviewing and owning generated output Capability to pick up and improve an existing codebase Skills in validating AI model behavior and outputs from an engineering and production standpoint, rather than a Data Science or ML research perspective Hands-on experience in agentic/LLM application development, including agent loops, evaluations, and tool design English proficiency at B2 level or higher Nice to have Familiarity with Palantir Foundry / AIP Background in insurance or reinsurance domain Familiarity with cloud AI services (e.g. Azure AI)