AI Data Engineer

Skills

About the Role

You will design and build agentic systems and intelligent agents that reason, plan, and execute across complex financial workflows. You will build and operate MCP servers with secure schemas and permissions, develop agentic workflows using LangGraph or equivalents, and integrate LLMs via SDKs managing prompts, structured outputs, and tool calling. You will define and run LLM evaluation pipelines for quality, correctness, latency, cost, and regressions; build observability and reliability infrastructure including logging, tracing, retries, and state management; and optimize performance and cost from prototype to production. You will also mentor engineers and establish agentic best practices.

Requirements

• 5+ years software engineering; 2+ years building production AI/ML systems
• Hands-on experience with agentic architectures and tool calling
• Practical experience with MCP servers
• Experience with LangGraph or equivalent agentic frameworks
• Experience designing and operating LLM evaluation pipelines
• Strong Python and API design skills
• Familiarity with RAG pipelines, vector databases, and embedding-based retrieval

Responsibilities

• Design and build single and multi-agent systems with planning, memory, and tool use
• Build and operate MCP servers with secure schemas and permissions
• Develop agentic workflows using LangGraph or equivalent frameworks
• Integrate LLMs via SDKs and manage prompts, structured outputs, and tool calling
• Define and run LLM evaluations for quality, correctness, latency, cost, and regressions
• Build observability and reliability infrastructure including logging, tracing, retries, and state management
• Optimize performance and cost from prototype to production
• Mentor engineers and establish agentic best practices

Benefits

• Compensation & Equity – competitive package aligned with growth, performance, and merit