Senior AI Engineer

Equifax, Inc.; Thiruvananthapuram; In loco; INR 4.000.000 - 8.000.000; Tempo pieno

Descrizione del lavoro

Equifax, Inc. is seeking a visionary Senior AI Engineer to lead our technology transformation, architecting cloud-native solutions and scalable APIs. You will mentor a cross-functional team and drive adoption of agentic AI frameworks across the business.

The role emphasizes production-grade AI systems on Google Cloud Platform, MLOps practices, and modern development tooling to accelerate delivery. You will collaborate with product leaders and data scientists to translate business needs into

Competenze

• Bachelor's degree or equivalent experience
• 5+ years in software engineering with strong technical leadership and shipping scalable systems
• 2+ years in dedicated AI/ML role, hands-on model integration and MLOps
• 1+ years architecting/building solutions with LangChain/LangGraph or similar
• 2+ years deep experience with Google Cloud Platform (GCP) AI/ML services (Vertex AI)
• 3+ years proven experience with Kubernetes
• Proficiency in Python, JavaScript/TypeScript and/or Java; working knowledge of a modern frontend framework (Angular/React/Vue)
• Hands-on experience with Langfuse for observability of agentic workflows

Mansioni

• Implement Sophisticated AI Agents using LangChain and LangGraph to automate claims lifecycle decisions
• Design, test, and refine prompts and contextual data frameworks for AI agents
• Lead AI research, prototyping, and integration of latest models and RAG techniques
• Build production-scale AI systems on Google Cloud Platform (GCP)
• Establish and lead MLOps for agentic systems with monitoring and observability
• Collaborate with product managers, data scientists, and engineers to deliver impactful AI solutions
• Promote modern software practices using AI code-assist tools like GitHub Copilot, Gemini, Claude
• Mentor and manage a cross-functional team of engineers; drive technical excellence
• Define engineering metrics (SLA/SLO/SLI) and ensure DevSecOps and FinOps practices
• Lead architectural and design decisions in collaboration with stakeholders
• Participate in agile ceremonies and drive efficient delivery
• Maintain up-to-date technical documentation and runbooks
• Deliver technical presentations to diverse audiences

Conoscenze

AI leadership

Cloud architecture

Kubernetes

Python

TypeScript

LangChain

LangGraph

GCP

CI/CD

Terraform

Formazione

Bachelor's degree or equivalent

Strumenti

LangChain

LangGraph

GitHub Copilot

Gemini

Claude

Langfuse

Vertex AI

Terraform

Docker

Kubernetes

Descrizione del lavoro

Job Description:

Equifax is seeking a visionary AI engineer to lead 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

As our Senior AI Engineer, you will be the driving force behind our technical vision and execution. Your core responsibilities include:

• 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, monitoring, and observability of our AI agents, using tools like Langfuse to ensure production-grade performance.
• Collaborate to Deliver Impact: Partner closely with product leaders, data scientists, and other engineers to translate business needs into technical reality, ensuring our AI solutions are both innovative and effective.
• Champion modern software development practices by actively using AI code-assist tools (e.g., Gemini code assists, Github Copilot, Claude code) to accelerate development cycles, generate documentation, improve code quality, testing, and monitoring & observability practices
• Build, manage, and mentor a cross-functional team of software, quality, and reliability engineers, fostering a culture of technical excellence and continuous improvement.
• Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations (DevSecOps, FinOps) 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, demonstrating deep technical expertise and problem-solving skills.
• Participate and lead agile team activities, including Sprint Planning and Retrospectives, to ensure efficient and predictable delivery
• 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 communicating with clarity and precision, and present complex information in a concise format that is audience appropriate

What You'll Bring (Experience & Technical Stack)

• Bachelor's degree or equivalent experience
• 5+ 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+ years 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.
• Proficiency in Python, JavaScript/TypeScript and/or Java and working knowledge of a modern front-end framework (Angular, React, or Vue) to collaborate effectively with UI teams.
• Hands-on experience with LLM observability tools like Langfuse for monitoring and debugging agentic workflows
• Cloud-Native Proficiency:
  • Cloud Platforms: Extensive hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
  • Containerization: Mastery of Docker for containerizing applications and Kubernetes for orchestration.
  • Infrastructure as Code (IaC): Proficiency with tools like Terraform or CloudFormation to manage infrastructure programmatically.
  • CI/CD Tools: Experience with CI/CD tools such as Github Actions, Argo CD, Jenkins
  • Database Knowledge: Strong experience with both SQL (e.g., Spanned DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB and Firestore) databases.
  • Cloud-Native Proficiency:
  • Cloud Platforms: Extensive hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
  • Containerization: Mastery of Docker for containerizing applications and Kubernetes for orchestration.
  • Infrastructure as Code (IaC): Proficiency with tools like Terraform or CloudFormation to manage infrastructure programmatically.
  • CI/CD Tools: Experience with CI/CD tools such as Github Actions, Argo CD, Jenkins
  • Database Knowledge: Strong experience with both SQL (e.g., Spanned DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB and Firestore) databases.

What could set you apart

• Strong expertise in Generative AI (GenAI), including hands-on experience with models like Gemini, ChatGPT, Claude, or Llama.
• You are adept at leveraging modern development tools, including AI-powered code assistants (like GitHub Copilot), to accelerate the development lifecycle and rapidly ship high-quality features
• 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.
• You are motivated by the opportunity to apply cutting-edge technology to solve meaningful, real-world problems at a massive scale.