Lead AI Developer

Equifax, Inc.; Providencia; On-site; CLP 20,000,000 - 40,000,000; Full time

Job summary

Equifax, Inc. is seeking creative software engineers to design, develop and operate high-scale conversational AI applications and APIs.

You will build CI/CD pipelines with Jenkins, deploy serverless webhooks, and integrate with enterprise systems across teams in a fast-paced environment. You should have 5+ years in software engineering, cloud experience (AWS/GCP/Azure), and strong backend skills in Python/Node.js/Java.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.

Responsibilities

• Design, develop, and operate high-scale conversational AI applications, virtual agents, and interactive assistants.
• Design, deploy, test, and maintain serverless fulfillment webhooks, microservices, and backend APIs.
• Build, maintain, and automate CI/CD pipelines using Jenkins for building, testing, and deploying virtual agent configurations and fulfillment services.
• Build scalable pipelines for conversational data, telemetry, analytics, and knowledge store integrations (e.g., RAG patterns).
• Apply modern software development practices (serverless computing, microservices architecture, Jenkins CI/CD pipelines, infrastructure-as-code).
• Work across teams to integrate conversational interfaces with enterprise databases, CRMs, and internal systems.
• Triage product or system issues and debug, track, and resolve performance bottlenecks across webhooks and service integrations.
• Manage project priorities, deadlines, and deliverables within a collaborative engineering environment.
• Actively participate in Sprint planning, Sprint Retrospectives, and Agile team activity.
• Collaborate with architects, SRE leads, and other technical leadership on strategic technical direction, guidelines, and best practices.
• Facilitate the adoption of enterprise tools for automated deployment pipeline delivery

Skills

Software engineering

Cloud platforms

CI/CD pipelines

REST gRPC APIs

Backend development

AI integration

Team collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Jenkins

Terraform

Docker

Kubernetes

AWS

GCP

Azure

LangChain

Job description

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.

What you’ll do

• Design, develop, and operate high-scale conversational AI applications, virtual agents, and interactive assistants.
• Design, deploy, test, and maintain serverless fulfillment webhooks, microservices, and backend APIs.
• Build, maintain, and automate CI/CD pipelines using Jenkins for building, testing, and deploying virtual agent configurations and fulfillment services.
• Build scalable pipelines for conversational data, telemetry, analytics, and knowledge store integrations (e.g., RAG patterns).
• Apply modern software development practices (serverless computing, microservices architecture, Jenkins CI/CD pipelines, infrastructure-as-code).
• Work across teams to integrate conversational interfaces with enterprise databases, CRMs, and internal systems.
• Triage product or system issues and debug, track, and resolve performance bottlenecks across webhooks and service integrations.
• Manage project priorities, deadlines, and deliverables within a collaborative engineering environment.
• Actively participate in Sprint planning, Sprint Retrospectives, and Agile team activity.
• Collaborate with architects, SRE leads, and other technical leadership on strategic technical direction, guidelines, and best practices.
• Facilitate the adoption of enterprise tools for automated deployment pipeline delivery

What experience you need

• Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
• 5+ years of software engineering experience building scalable, cloud-native solutions.
• 2+ years experience designing, building, and deploying conversational AI solutions using enterprise platforms (e.g., IVR, Dialogflow, Genesys, Nice InContact, AWS Lex, or custom LLM frameworks).
• 3+ years experience writing, debugging, and troubleshooting production code in mainstream languages (e.g., Python, Node.js/TypeScript, Java).
• 3+ years experience with major cloud platforms (GCP, AWS or Azure) using serverless computing or containerized environments.
• Experience deploying and releasing software using Jenkins CI/CD pipelines, containerization, and infrastructure-as-code concepts (e.g., Terraform).
• Experience designing and consuming REST/gRPC APIs, webhooks, and middleware integration patterns.

What could set you apart

• Experience in Google CCaaS platform
• AI Tooling & Generative AI: Experience with LLM frameworks (e.g., LangChain, LlamaIndex), agentic architectures, tool/function-calling, vector databases, and prompt engineering.
• Advanced DevOps: Deep expertise customizing Jenkins shared libraries, automated test integration within CI/CD pipelines, and Helm Charts.
• Cloud certification (e.g., AWS Solutions Architect, GCP Professional Architect, or Azure Solutions Architect).
• Experience integrating voice channels, Speech-to-Text (STT), Text-to-Speech (TTS), or telephony platforms (e.g., Twilio, Genesys).
• Deep understanding of automated testing frameworks for conversational flows, webhooks, and REST APIs.
• Self-starter that identifies and responds to priority shifts and complex architecture challenges with minimal supervision.