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 Customer Engineering Engineer (AI/LLM focus)
Builds
AI-driven diagnostic tools, agentic workflows, and automation for customer issue resolution
Domain
Financial analytics software, AI/LLM application development, customer success engineering
Deliverable
production ML models | product features
Required skills
Python software engineering, LLM application development, prompt engineering, function/tool calling, agentic workflow orchestration, production AI deployment and monitoring, API integration, documentation
Preferred skills
Experience with LangGraph or LangChain, knowledge of enterprise software platforms, decision management, fraud detection systems
Technologies
Python, LLMs, LangGraph, LangChain, MCP
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 LLM solutions; Investigate AI failures and improve prompts, tools, and model selection; Measure solution performance using engineering metrics like accuracy, latency, and cost; Partner with internal engineering teams to integrate AI capabilities
Seniority
Mid-level, hands-on IC