AI Engineer (Risk) KI

Who are we?

We are Mexico's leading financial technology company, empowering over 100,000 clients to achieve their business goals. Our mission is to fuel the growth of small and medium-sized enterprises (SMEs) through innovative solutions—including financing, corporate credit cards, and payment systems. We partner with entrepreneurs to help them overcome challenges, transforming their businesses into true engines of economic growth while contributing to the development of our community, our country, and the planet.

About the Role

You will build and maintain our AI agents for Risk and Collections, using Claude (Anthropic) as the foundational model. Your goal is to develop a reliable, highly parallel, and cost-efficient processing platform that delivers evidence-backed conclusions to other systems. You will also enable secure, auditable access for external collection agencies, ensuring our Risk and Collections teams can leverage AI safely and efficiently.

Key Responsibilities

Agent Development: Maintain and expand our current AI agents (KI Forensics) and build new Risk and Collections agents capable of publishing structured, evidence-backed findings.

Performance & Efficiency: Implement parallel processing and optimize LLM operational costs (caching, batching, model routing) to handle a higher daily volume of cases at a lower cost.

Reliability & Evals: Guarantee the reliability of the daily processing cycle (retries, error handling) and maintain rigorous evaluation frameworks (evals) and prompt versioning.

Security & Access Control: Build strict access controls (OIDC/Okta) for external collection agencies, ensuring data visibility is strictly limited to assigned cases with per-user audit trails.

Cross-functional Collaboration: Work closely with the Risk Data Science team to methodologically validate AI findings and integrate feedback from external agencies.

Required Profile

Artificial Intelligence: Technical mastery of Claude and advanced Prompt Engineering; proven experience building applications with LLMs and writing evaluations (evals).

Software Engineering: 3+ years of experience deploying Python in production and advanced SQL skills.

Security & Access: Experience implementing authentication and authorization in web applications (OIDC / Okta or similar).

Cloud & DevOps: Solid understanding of Git, CI/CD (GitLab CI), and AWS at a developer level, including handling sensitive data and secrets.

Desirable: Background in Credit/Collections, experience with MySQL/Athena, and familiarity with the Claude Agent SDK.

Value Proposition

Impact at Scale: Build solutions that solve real financial challenges for Mexican businesses.

Cutting-Edge Innovation: Lead the integration of Generative AI in high-impact regulated products.

Culture of Excellence: Join a team focused on critical thinking, agile execution, and a strong sense of ownership.

Operational Flexibility: A results-oriented work model designed to maximize your productivity and professional development.