Principal Engineer - Agentic Engineering

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology.

We are looking for a visionary Principal Engineer to act as the single-threaded owner for our Agentic SDLC Strategy. You will not just use AI; you will architect the ecosystem where GitHub Copilot operates as an autonomous agenthandling code generation, incident response, and documentation within a secure, observable Equifax framework.

What You'll Do:

• Strategic Roadmap: Define and own the internal product roadmap for GitHub Copilot, treating it as a first-class engineering platform.
• Agentic Orchestration: Design and manage the Model Context Protocol (MCP) toolset to enable Copilot to interact with ServiceNow, Atlassian, DataDog, and GCP.
• Context Engineering: Translate Equifax engineering standards into version-controlled custom instructions and RAG (Retrieval-Augmented Generation) frameworks to shape Copilots persona.
• Governance & Security: Establish a "human-in-the-loop" framework for critical actions and enforce code-driven RBAC for GitHub Actions and APIs.
• Observability: Implement a robust stack to track Copilots KPIs, monitoring the effectiveness of the agentic system and optimizing prompt accuracy.
• Leadership: Mentor senior engineers across Pune and Trivandrum, collaborating with SRE and DevSec leads to ensure compliance with EFX secure software guidelines.

What You'll Need:

• Experience: 10+ years of total software engineering experience (7+ years in cloud-native distributed systems).
• Core Tech: Expert-level proficiency in Python, Node.js, or Go (preferred for LLM orchestration) and familiarity with Java/SpringBoot.
• AI/LLM Expertise: 2+ years of experience working with LLMs, Prompt Engineering, and building agentic workflows (Tool-use/Function-calling).
• Cloud & DevOps: Deep experience with GCP or AWS, Kubernetes (GKE), and Infrastructure as Code (Terraform/Helm).
• GitHub Mastery: Advanced knowledge of GitHub Actions, GitHub Apps, and REST/GraphQL APIs.
• Education: Bachelors degree in Computer Science or a related technical field.

What Could Set You Apart:

• Early adoption and implementation of Model Context Protocol (MCP).
• Proven track record of building RAG systems or developer productivity tools at scale.
• Experience with event-driven architectures reacting to GitHub webhooks.
• Contributions to open-source AI projects or developer tooling.