Home/Jobs/Senior AI Engineer - Career Senior AI Engineer - Career Equifax Pune 5+ years Today $42.2K–55.4K/yr Full-time Hybrid Skills Required LLM RAG LangChain Gen AI Prompt Engineering Gemini ChatGPT Claude LangGraph Context Engineering MLOps GCP Vertex AI Kubernetes Docker Description Equifax is seeking a Senior AI Engineer to drive its technology transformation initiative. The role focuses on building and operating cloud-native AI systems at production scale, with a strong emphasis on agentic AI, MLOps, and technical leadership.

Company: Equifax Role: Senior AI Engineer Location: Pune, India; Hybrid Experience 5+ years in software engineering

1+ years in a dedicated AI/ML role

1+ years architecting and building with LangChain, LangGraph, or similar agentic AI frameworks

2+ years with Google Cloud Platform, especially AI/ML services such as Vertex AI

3+ years of experience with Kubernetes workloads

Experience in technical leadership and shipping complex, scalable systems Qualification Bachelor's degree or equivalent experience Responsibilities Lead the architecture and deployment of cloud-native AI solutions for a large enterprise

Design, build, and deploy AI agents for claims lifecycle automation

Develop and refine prompts and contextual data frameworks

Prototype and integrate foundational models, RAG techniques, and agentic frameworks

Engineer and operate AI systems in a scalable production environment on Google Cloud Platform

Establish reliability, versioning, monitoring, and observability practices for AI agents

Partner with product leaders, data scientists, engineers, product managers, architects, SREs, and business partners

Define technical strategy, software roadmaps, and architectural decisions





Lead troubleshooting for production and customer issues

Participate in agile activities including Sprint Planning and Retrospectives

Use AI code-assist tools to accelerate development, documentation, testing, and observability

Build, manage, and mentor a cross-functional team of software, quality, and reliability engineers

Define and report engineering metrics such as SLA, SLO, and SLI

Create and deliver technical presentations to technical and non-technical stakeholders Additional Responsibilities Ensure compliance with security, quality, and financial operations best practices

Drive up-to-date technical documentation including support documentation, end-user documentation, and run books

Lead with a data- and metrics-driven mindset focused on efficient solutions

Architect and deploy highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms

Design, develop, and deploy AI agents on Google Cloud Platform

Collaborate effectively with UI teams using front-end technologies

Foster a culture of technical excellence and continuous improvement Nice To Have Experience with generative AI models such as Gemini, ChatGPT, Claude, or Llama

Experience creating and deploying AI agents to production environments

Solid ability to tackle ambiguous, complex technical challenges

Passion for building reliable, production-ready software





Ability to mentor engineers and communicate complex ideas clearly More Skills AI agents, agentic frameworks, Terraform, CloudFormation, GitHub Actions, Argo CD, Jenkins, Python, JavaScript, TypeScript, Java, Angular, React, Vue, Langfuse, GitHub Copilot, Claude code, Llama, SQL, NoSQL, Spanner DB, AlloyDB, PostgreSQL, MySQL, MongoDB, DynamoDB, Firestore, DevSecOps, FinOps, SLA, SLO, SLI, cloud-native architecture, microservices, PaaS, SaaS, APIs, containerization Other Full time

Technology

Job requisition: J00178327

We offer a hybrid work setting

Comprehensive compensation and healthcare packages

Attractive paid time off

Organizational growth potential through an online learning platform with guided career tracks

Equifax is a global data, analytics, and technology company

Equal Opportunity Employer Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment. Functions, Tools and Agents with LangChain Coursera Advanced LangChain covering function calling, tool use, and conversational agents.

Introduction to Generative AI Coursera Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools. More LLM jobs Member of Technical Staff, AI/ML Engineering Micro1 India Today AI Engineer – Agentic AI Systems Truebyl Kolkata Today GenAI Developer/ Engineer Capco, A Wipro Company Bengaluru Today LLM Operations Engineer Accenture Pune Today AI Engineer IC Markets Global Hyderabad Today Agentic AI Developer EC-Council Hyderabad Today

📌 Senior AI Engineer - Career (Pune)
🏢 Top Gen AI Jobs
📍 Pune