Senior AI Data Engineer, Data Platforms

Job 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.

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)