| Location | Atlanta, GA |
Back to Search
Senior AI Data Engineer, Data Platforms
Remote in Georgia, & 4 others
AI Solution Engineering
apply
FacebookLinkedInSend via email
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Location-specific conditions & benefits*
Choose an option
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 lines 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)