AI Data Engineer

Senior AI Data Engineer to design and build agentic systems powering the intelligence platform for a global technology company.

Requirements

• Agentic Systems: Design and build single and multi-agent systems incorporating planning, memory, and tool use.
• Infrastructure: Build and operate MCP servers with secure schemas and permissions.
• Workflows: Develop sophisticated agentic workflows using LangGraph or equivalent frameworks.
• LLM Integration: Manage prompts, structured outputs, and tool calling via SDKs.
• Evaluation: Define and run LLM evaluation pipelines for quality, correctness, latency, cost, and regressions.
• Observability: Build reliability infrastructure, including logging, tracing, retries, and state management.
• Performance: Optimize performance and cost-efficiency from prototype to production.
• Mentorship: Establish agentic best practices and mentor junior engineers.

Benefits

• Competitive Compensation & Equity: A package aligned with growth, performance, and merit.
• Professional Growth: Be a foundational member of a rapidly expanding, global technology company with significant room for career advancement.
• High-Stakes Impact: Work on systems that secure hundreds of billions of dollars and define the future of financial risk management.
• Talent-Dense Team: Collaborate with world-class data scientists and engineers in a high-performance culture.