Senior AI Engineer – Production LLM Apps for External Users

Softeq; Región Centro; On-site; MXN 1,343,000 - 1,567,000; Full time

Job summary

Softeq, established in 1997, is expanding its team with a Senior AI Engineer to build and productionize AI-powered customer solutions for a logistics portal, ensuring safety, accuracy and measurable outcomes.

You will own the AI segment, implement guardrails, design tool calls, integrate with Azure services, and collaborate with data scientists to deploy predictive models while maintaining multi-tenant data isolation and robust observability.

Qualifications

• 3+ years building LLM applications in production for external users.
• Strong Python in production environments (FastAPI or similar).
• Hands-on experience with evaluating LLM systems in production.
• Practical AI security: prompt-injection defense & data leakage prevention.
• Experience with multi-tenant data isolation and server-side filtering.
• Good SQL skills and ability to derive business metrics from data.

Responsibilities

• Move the AI assistant from prototype to production with Azure AI Search and tool calls.
• Design typed tools so answers respect customer entitlements.
• Ground answers in metrics from the data lakehouse and show data provenance.
• Build evaluation pipelines and CI gates to prevent bad releases.
• Run and manage the AI gateway on Azure API Management (quotas, logging, safety).
• Implement guardrails for prompt injections and data handling, with PII redaction when needed.
• Build new AI features such as daily briefings and knowledge search capabilities.
• Collaborate with data scientists to deploy predictive models (delays, congestion, cost).
• Monitor production with tracing, feedback loops, and dashboards.

Skills

LLM applications in production

Python (production)

SQL

English communication

Tools

Azure AI Search

Azure API Management

Databricks

MLflow

Unity Catalog

Job description

Softeq, established in 1997, is expanding its team with a Senior AI Engineer to build and productionize AI-powered customer solutions for a logistics portal, ensuring safety, accuracy and measurable outcomes.

You will own the AI segment, implement guardrails, design tool calls, integrate with Azure services, and collaborate with data scientists to deploy predictive models while maintaining multi-tenant data isolation and robust observability.