Teams at RepRisk

Develop reusable automated testing frameworks, tooling, and quality gates for data pipelines and products. Integrate quality checks into CI/CD workflows, improve pipeline observability, coach delivery teams, and help engineers maintain effective automated tests. Investigate system risks, validate product areas, review check effectiveness, and establish engineering standards across the Quality Engineering function.

As a Senior AI Engineer, you'll develop agentic systems, build AI integrations, and design production systems while ensuring compliance in high-stakes environments.

Design, build, and operate production-grade single- and multi-agent AI systems with planning, memory, tool-use, and auditability. Build MCP servers, LLM-powered microservices, and agentic workflows; implement observability, testing, and evaluation; integrate APIs and data pipelines; collaborate with product and domain experts and adopt state-of-the-art agent and LLM techniques.