Automation & AI Analyst

Team: Global Tools and Metrics

Location: Mexico City, CDMX

Commitment: Full-Time

Workplace Type: hybrid

Responsibilities

Identify, design, and build AI/ML and automation solutions (e.g., LLM-based applications, agents, RPA, and workflow automations) that address business needs and reduce manual effort.

Develop, integrate, and deploy models and automation workflows into production, connecting them with existing systems, data sources, and APIs.

Build and maintain prompt engineering, retrieval (RAG), and evaluation pipelines to ensure the quality, accuracy, and reliability of AI outputs.

Monitor, test, and improve deployed solutions tracking performance, cost, latency, and accuracy iterating based on feedback and metrics.

Partner with business and technical stakeholders to gather requirements, prioritize use cases, document solutions, and enable teams to adopt them.

Apply responsible-AI, security, and compliance best practices (data privacy, bias mitigation, access controls, PII protection), coordinating with Security/IT and Data as needed.

Qualifications

The following requirements support successful performance in the role. Attributes that could be considered discriminatory are intentionally avoided.

Software / tools: Proficiency in Python; experience with AI/ML frameworks and LLM APIs (e.g., OpenAI, Anthropic), plus automation/orchestration tools (e.g., n8n, Make/Zapier, Airflow) and workflow/RPA platforms. Familiarity with a major cloud (GCP/AWS/Azure), APIs/webhooks, and version control (Git).

Specific knowledge: Applied machine learning and generative-AI concepts (prompting, RAG, embeddings, fine-tuning), agent frameworks, integration patterns, and building and monitoring solutions in production. Experience in fintech or high-volume environments is valued.

Expected results: Reliable, well-documented AI and automation solutions in production that measurably reduce manual work, improve process efficiency, and deliver accurate, trustworthy outputs.

Skills: Strong analytical and problem-solving skills, curiosity and fast learning in a rapidly evolving field, attention to detail, clear communication of technical concepts, and collaboration across business and technical teams.

Desirable (not essential): Experience with vector databases, MLOps/LLMOps, and data engineering or integrations; the Zoho ecosystem or similar platforms; intermediate/advanced English (Portuguese a plus); and prior experience in a similar AI / Automation Engineer role.

Benefits

• Benefits may vary by country

• 100% Company Funded : Private Health Insurance for employee and immediate family

• 20 days vacation, unlimited sick leave

• $2,000 USD annual Co-working Travel perk

• $2,000 USD annual Professional Development perk

• Phone Finance, headphone benefit, home office equipment allowance and wellness perks