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 agent—handling 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 Copilot's 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 Copilot's 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: Bachelor's 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.
