Remote AI Agent Experience Engineer

Collage; Monterrey; Remote; MXN 450,000 - 750,000; Full time

Benefits offered by this job

Remote work

In-person collaboration

Job summary

ACTO is seeking an AX Engineer to design, build, test, and optimize AI agents (SuperAgents) for commercial, medical, and patient-facing teams in the life sciences sector. You will translate real-world workflows into intelligent, compliant agents and work across IT, product, and engineering to ensure reliable production deployments.

The role requires 1–2 years in AI agent development, strong prompt engineering, and familiarity with enterprise platforms like Veeva, Salesforce Health Cloud, or

Qualifications

• 1–2 years designing or configuring AI agents or AI-driven workflows.
• 2) Strong prompt engineering and system-level instructions.
• 3) Understanding of LLM behaviour, strengths, limitations, and evaluation methods.

Responsibilities

• Conducting structured discovery sessions with clients to map roles and workflows.
• Identifying and mapping dependencies across databases, APIs, and enterprise platforms.
• Designing and configuring ACTO SuperAgents with objectives, guardrails, and flows.
• Modeling agent skills using a tools + actions + knowledge framework.
• Creating and refining prompts and system instructions for accuracy and compliance.
• Evaluating agent outputs and iterating to improve performance.
• Participating in UAT cycles and production deployments.
• Collaborating with IT, Customer Success, Product, and Engineering.

Skills

Prompt engineering

LLM behavior

Conversational AI

Backend databases

Workflow design

Project management

Education

Bachelor’s degree in Computer Science

Engineering or related field

Tools

Veeva

Salesforce Health Cloud

Veeva Vault

Snowflake

Tableau

Job description

ACTO is seeking an AX Engineer to design, build, test, and optimize AI agents (SuperAgents) for commercial, medical, and patient-facing teams in the life sciences sector. You will translate real-world workflows into intelligent, compliant agents and work across IT, product, and engineering to ensure reliable production deployments.

The role requires 1–2 years in AI agent development, strong prompt engineering, and familiarity with enterprise platforms like Veeva, Salesforce Health Cloud, or