Principal Applied AI Engineer - Lead Production AI (Remote)

Cincsystems

United States

Remote

USD 170,000 - 260,000

Full time

5 days ago
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Job summary

CINC is seeking a Principal Applied AI Engineer to lead a high-performing product team implementing Cephai-powered capabilities within the CINC platform. This is a hands-on leadership role combining architecture, mentoring, and product-minded engineering.

You will guide AI-driven production systems, collaborate with operations, product, design, and client support, and shape patterns and practices that scale across the organization.

Qualifications

  • Fifteen+ years of software engineering experience with production systems.
  • Strong Python/Node/TypeScript skills and API design.
  • Experience designing production AI architectures and orchestration.
  • Familiarity with LangGraph, LangChain, and OpenAI/Anthropic/Bedrock APIs.
  • Knowledge of vector databases and embedding pipelines.

Responsibilities

  • Lead the direction of a product team in partnership with a Product Lead (two-in-the-box).
  • Design and build production-grade, Cephai-powered systems that bring the right context into the work.
  • Work closely with operations, product, design, sales, marketing, and client support leaders to solve real client problems.
  • Support highly skilled, motivated team members and keep raising the bar for the team.
  • Help shape architectural patterns and engineering practices across the organization.

Skills

Python
Node.js
TypeScript
Systems design
Team leadership
Production systems

Tools

LangGraph
LangChain
OpenAI API
Anthropic API
Bedrock API
Vector databases

Job description

CINC is seeking a Principal Applied AI Engineer to lead a high-performing product team implementing Cephai-powered capabilities within the CINC platform. This is a hands-on leadership role combining architecture, mentoring, and product-minded engineering.

You will guide AI-driven production systems, collaborate with operations, product, design, and client support, and shape patterns and practices that scale across the organization.

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