Senior AI Data Engineer

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• Nice to have: Familiarity with Palantir Foundry / AIP.
• Background in insurance or reinsurance domain.
• Familiarity with cloud AI services (e.g. Azure AI).