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Equifax

Credit reporting data analytics and risk

Lead AI Developer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSantiago, Santiago Metropolitan Region, ChileNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
  • At least 5 years of software engineering experience building scalable, cloud-native solutions.
  • At least 2 years of experience designing, building, and deploying conversational AI solutions using enterprise platforms such as IVR, Dialogflow, Genesys, Nice InContact, AWS Lex, or custom large language model frameworks.
  • At least 3 years of experience writing, debugging, and troubleshooting production code in mainstream languages such as Python, Node.js/TypeScript, or Java.
  • At least 3 years of experience with major cloud platforms such as 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 such as Terraform.
  • Experience designing and consuming REST/gRPC APIs, webhooks, and middleware integration patterns.

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, including retrieval-augmented generation patterns.
  • Apply modern software development practices, including serverless computing, microservices architecture, Jenkins CI/CD pipelines, and infrastructure-as-code.
  • Integrate conversational interfaces with enterprise databases, customer relationship management systems, and internal systems across teams.
  • 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.
  • Participate in sprint planning, sprint retrospectives, and Agile team activities.
  • Collaborate with architects, site reliability engineering leads, and other technical leaders on strategic technical direction, guidelines, and best practices.
  • Facilitate adoption of enterprise tools for automated deployment pipeline delivery.

Desired Qualifications

  • Experience with the Google CCaaS platform.
  • Experience with large language model frameworks such as LangChain and LlamaIndex, agentic architectures, tool or function calling, vector databases, and prompt engineering.
  • Experience customizing Jenkins shared libraries, integrating automated testing within CI/CD pipelines, and using Helm charts.
  • Cloud certification such as AWS Solutions Architect, GCP Professional Architect, or Azure Solutions Architect.
  • Experience integrating voice channels, speech-to-text, text-to-speech, or telephony platforms such as Twilio or Genesys.
  • Understanding of automated testing frameworks for conversational flows, webhooks, and REST APIs.

About the Company

Equifax

Credit reporting data analytics and risk

Equifax is a global data, analytics, and technology company that provides credit information and related services to businesses, governments, and consumers. It collects and analyzes large amounts of data to generate insights used for credit reporting, risk management, fraud detection, and identity verification. The company uses its Equifax Cloud to combine data with advanced analytics and machine learning, delivering credit reports, risk assessments, and global market insights to help clients make smarter decisions and improve customer experiences. Compared with competitors, Equifax emphasizes its large, differentiated data assets and integrated analytics platform to offer comprehensive, end-to-end solutions for credit and risk management. Its goal is to help clients assess credit risk, detect fraud, and explore opportunities more confidently in a changing financial landscape.

Company size
10,001+
Company stage
IPO
Headquarters
Atlanta, GA
Founded
1899

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