Client-Facing AI Engineer: Secure, Scalable LLM Workflows

Impact Advisors Mexico; Ciudad de México; On-site; MXN 900,000 - 1,200,000; Full time

Benefits offered by this job

Grocery stipend

Medical insurance

Wellness program

PTO days

Savings plan

Job summary

Impact Advisors Mexico seeks a Forward Deployed AI Engineer who blends software, cloud engineering, and data science to work directly with clients, owning strategy and implementation. You will build large-scale LLM and agentic workflows and deploy them securely within clients' organizations.

You will collaborate with cross-functional teams, design scalable data pipelines, optimize model performance, and ensure production readiness while staying current with AI advances.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field. Master’s or PhD preferred.
• 2+ years building and shipping LLM applications in production.
• 2+ years in client-facing technical roles.

Responsibilities

• Innovate and Deploy: Design and deploy advanced machine learning models to solve real-world problems.
• Build Agentic Workflows: Architect LLM systems that connect to tools, data sources, and APIs.
• Design for Security: Assess and reduce attack surface of LLM apps with guardrails and monitoring.
• Collaborate: Work with cross-functional teams to deliver AI-powered solutions.
• Optimize and Scale: Implement scalable data pipelines and optimize model performance.
• Lead and Learn: Stay current with ML/AI developments and participate in code reviews.
• Impact: Monitor deployed models to ensure continuous value delivery.

Skills

LLM applications

Python

English communication

Client-facing tech roles

Distributed systems

Data structures & algorithms

Model tooling / function calling

Education

Bachelor’s degree in Computer Science or Engineering

Master’s or PhD preferred

Tools

AWS

Azure

GCP

Databricks

Job description

Impact Advisors Mexico seeks a Forward Deployed AI Engineer who blends software, cloud engineering, and data science to work directly with clients, owning strategy and implementation. You will build large-scale LLM and agentic workflows and deploy them securely within clients' organizations.

You will collaborate with cross-functional teams, design scalable data pipelines, optimize model performance, and ensure production readiness while staying current with AI advances.