Customer Engineering – Engineer II
Core
Build AI-powered tools, agentic workflows, and automation to diagnose, troubleshoot, and prevent customer engineering issues using LLMs.
Role type
Mid-level IC AI/LLM Application Engineer (Customer Engineering)
Builds
Production AI tools, agentic workflows, prompt harnesses, and evaluation frameworks for customer support automation.
Domain
Financial analytics, fraud detection, and decision management using Large Language Models (LLMs) and AI agents.
Deliverable
production ML models | product features
Required skills
LLM application development, prompt engineering, function/tool calling, AI agents & orchestration (LangGraph/LangChain), Python software engineering, production AI deployment & monitoring, API integrations, engineering metrics analysis.
Preferred skills
Enterprise software platform knowledge, FICO Platform familiarity, decision management, fraud capabilities.
Technologies
Python, LangGraph, LangChain, MCP, LLMs, APIs.
Responsibilities
Analyze complex customer engineering issues to identify AI automation opportunities; Build and optimize agentic workflows where LLMs reason over context and perform actions; Develop prompt harnesses and evaluation frameworks for real-world engineering scenarios; Investigate AI failures and improve prompts, tools, and model selection; Measure solution performance using accuracy, latency, and cost metrics; Partner with internal engineering to integrate AI capabilities into existing tools.
Seniority
Mid-level, hands-on IC