Senior AI Engineer - Career

Equifax; Pune District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Equifax is seeking a visionary AI engineer to join our technology transformation initiative. You will lead a talented team in architecting and deploying cutting-edge, cloud-native solutions for a large enterprise.

You will be at the forefront of modern development, employing vibe coding concepts with AI-powered coding assistants like GitHub Copilot, Gemini, and accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms, including the

Qualifications

• Experience designing AI agents and deploying cloud-native AI systems.
• Proficiency in front-end and back-end technologies.
• Knowledge of LangChain/LangGraph, MLOps, and AI frameworks.

Responsibilities

• Implement AI Agents: design, build, and deploy AI agents using LangChain and LangGraph.
• Master Prompt & Context Engineering: design, test, and refine prompts and data frameworks.
• Lead AI Research & Innovation: prototype and integrate latest models, RAG techniques, and agentic frameworks.
• Build for Production Scale on GCP: operate AI systems in scalable production on Google Cloud Platform.
• Champion MLOps for Agentic Systems: establish best practices for reliability and versioning.

Skills

LangChain

LangGraph

AI agents

GCP

MLOps

Cloud-native

Microservices

APIs

Containerization

Tools

GitHub Copilot

Gemini

Job description

Job Description:
Equifax is seeking a visionary AI engineer to join our technology transformation initiative. In this role, you will lead a talented team in architecting and deploying cutting-edge, cloud-native solutions for a large enterprise. You will be at the forefront of modern development, employing vibe coding concepts with AI-powered coding assistants like GitHub Copilot, Gemini, and accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms, including the ability to design, develop, and deploy AI agents in the google cloud platform. This role requires a deep understanding of both front-end and back-end technologies, combined with mastery of cloud infrastructure, containerization, microservices architecture and the agentic AI framework. You're not just a coder; you're an architect, a mentor, and a key driver of the team's technical vision. If you are passionate about solving complex problems and mentoring a high-performing team, we want to hear from you.

Job Description:
Equifax is seeking a visionary AI engineer to join our technology transformation initiative. In this role, you will lead a talented team in architecting and deploying cutting-edge, cloud-native solutions for a large enterprise. You will be at the forefront of modern development, employing vibe coding concepts with AI-powered coding assistants like GitHub Copilot, Gemini, and accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms, including the ability to design, develop, and deploy AI agents in the google cloud platform. This role requires a deep understanding of both front-end and back-end technologies, combined with mastery of cloud infrastructure, containerization, microservices architecture and the agentic AI framework. You're not just a coder; you're an architect, a mentor, and a key driver of the team's technical vision. If you are passionate about solving complex problems and mentoring a high-performing team, we want to hear from you.

What you’ll do

• Implement Sophisticated AI Agents: Design, build, and deploy complex AI agents using LangChain and LangGraph. You will own the core logic that automates intricate decision-making within the claims lifecycle.
• Master Prompt & Context Engineering: Design, test, and refine complex prompts and contextual data frameworks to ensure our AI agents perform with maximum accuracy, efficiency, and reliability.
• Lead AI Research & Innovation: Stay at the bleeding edge of AI. You’ll be responsible for identifying, prototyping, and integrating the latest foundational models, RAG techniques, and agentic frameworks to solve unique business challenges.
• Build for Production Scale on GCP: Engineer and operate our AI systems in a scalable, reliable production environment on Google Cloud Platform. Your work will directly impact millions of users.
• Champion MLOps for Agentic Systems: Establish and lead best practices for the reliability, versioning