AI Engineer - Risk & Collections with Claude

Konfio MX

Ciudad de México

On-site

MXN 600,000 - 1,000,000

Full time

13 days ago

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Job summary

Konfio MX is seeking an AI engineering professional to develop and maintain agents for Risk and Collections. You will leverage Claude and related tooling to create a fast, cost-efficient processing platform that produces verifiable findings for other systems.

You will enable secure, auditable external access for collection agencies, applying strict access controls and per-user audit trails while closely collaborating with the Risk Data Science team to validate outcomes.

Qualifications

  • Experience building AI-powered risk/collections apps with Claude or similar LLMs.
  • 3+ years deploying Python in production and strong SQL skills.
  • Knowledge of authentication/authorization in web apps (OIDC/Okta).
  • DevOps skills: Git, CI/CD (GitLab CI), and AWS at developer level.
  • Bonus: experience with credit/collections, Claude SDK.

Responsibilities

  • Develop and maintain AI agents (KI Forensics) for Risk and Collections.
  • Publish structured, evidence-backed findings from agents.
  • Implement parallel processing and optimize LLM costs (caching, batching, routing).
  • Ensure secure, auditable access for external agencies with per-user trails.
  • Collaborate with Risk Data Science to validate findings and incorporate feedback.

Skills

Claude mastery
Prompt Engineering
LLM applications
Python (production)
SQL
Authentication/Authorization
Git & CI/CD
AWS

Tools

Claude Agent SDK
MySQL
Athena
GitLab CI

Job description

Konfio MX is seeking an AI engineering professional to develop and maintain agents for Risk and Collections. You will leverage Claude and related tooling to create a fast, cost-efficient processing platform that produces verifiable findings for other systems.

You will enable secure, auditable external access for collection agencies, applying strict access controls and per-user audit trails while closely collaborating with the Risk Data Science team to validate outcomes.

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