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    Home/Jobs/Lead AI Engineer

    Lead AI Engineer

    Equifax

    Pune
    7+ years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LangChain
    Gemini
    Python
    JavaScript/TypeScript
    Java
    LangGraph
    Google Cloud Platform (GCP)
    Vertex AI
    Kubernetes
    Docker
    Terraform
    CloudFormation
    GitHub Actions
    ArgoCD
    Jenkins

    Description

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

    Company: Equifax

    Role: Lead AI Engineer

    Location: Pune, India

    Experience:

    • 7+ years in software engineering, with a strong track record of technical leadership and shipping complex, scalable systems
    • 2+ years in a dedicated AI/ML role, with hands-on experience in model integration, MLOps, and applying AI to solve business problems
    • 1+ year of direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks
    • 2+ years of in-depth experience with Google Cloud Platform (GCP), specifically its AI/ML services (Vertex AI, etc.)
    • 3+ years of proven experience leveraging Kubernetes workloads

    Key Skills:

    • Python
    • JavaScript/TypeScript
    • Java
    • LangChain
    • LangGraph
    • Google Cloud Platform (GCP)
    • Kubernetes
    • Docker
    • Terraform
    • CloudFormation
    • Github Actions
    • Argo CD
    • Jenkins
    • SQL
    • NoSQL
    • MongoDB
    • DynamoDB
    • Firestore
    • Langfuse

    Qualification:

    • Bachelor's degree or equivalent experience

    Role Focus:

    • Implement Sophisticated AI Agents: Design, build, and deploy complex AI agents using LangChain and LangGraph
    • Master Prompt & Context Engineering: Design, test, and refine complex prompts and contextual data frameworks
    • Lead AI Research & Innovation: Identify, prototype, and integrate the latest foundational models, RAG techniques, and agentic frameworks
    • Build for Production Scale on GCP: Engineer and operate AI systems in a scalable, reliable production environment on Google Cloud Platform
    • Champion MLOps for Agentic Systems: Establish and lead best practices for the reliability, versioning, monitoring, and observability of AI agents
    • Collaborate to Deliver Impact: Partner closely with product leaders, data scientists, and other engineers to translate business needs into technical reality
    • Champion modern software development practices by actively using AI code-assist tools
    • Build, manage, and mentor a cross-functional team of software, quality, and reliability engineers
    • Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations best practices
    • Collaborate with product managers, architects, SREs and business partners to define technical strategy, create software roadmaps, and make key architectural and design decisions
    • Lead troubleshooting efforts to resolve production and customer issues
    • Participate and lead agile team activities, including Sprint Planning and Retrospectives
    • Lead with a data/metrics driven mindset with a extreme focus towards optimizing and creating efficient solutions
    • Drive up-to-date technical documentation including support, end user documentation and run books
    • Create and deliver technical presentations to internal and external technical and non-technical stakeholders

    Nice to have:

    • Strong expertise in Generative AI (GenAI), including hands-on experience with models like Gemini, ChatGPT, Claude, or Llama
    • Experience creating and deploying AI agents to production environments
    • You have a history of tackling ambiguous, complex technical challenges and architecting elegant, effective solutions
    • You are passionate about the potential of AI, but you are grounded in the practical realities of building and shipping reliable, production-ready software
    • You thrive in a team-oriented environment, capable of mentoring other engineers and clearly communicating complex technical ideas to any audience

    Other:

    • Hybrid work setting
    • Comprehensive compensation and healthcare packages
    • Attractive paid time off
    • Organizational growth potential through online learning platform with guided career tracks

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

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