Senior AI Engineer

Sonatafy Technology - Mexico

AI Engineer designing and operating agent-based automation solutions for enterprise applications at Sonatafy Technology. Collaborating on innovative projects within a remote-first, LATAM-focused engineering team.

Posted 6/11/2026full-timeRemote • 🇨🇴 ColombiaSeniorWebsite

Tech Stack

Tools & technologies

ERP

About the role

Key responsibilities & impact

Design, build, and operate AI agents that perform multi-step reasoning, decision-making, and task execution across enterprise systems.
Develop agent-based solutions using LLMs, tools/function calling, memory, and orchestration frameworks to automate end-to-end business processes.
Implement human-in-the-loop, approval, audit, and exception-handling patterns to ensure safe and reliable automation.
Define and track KPIs for agent effectiveness (e.g., cycle-time reduction, automation rate, error rate, cost savings) and continuously optimize performance.
Design and maintain AI-driven workflows that integrate with enterprise applications (CRM, ERP, ticketing, content management, collaboration platforms).
Build and expose services and APIs that allow internal applications to invoke AI agents and automation capabilities.
Integrate and govern third-party AI platforms and services where they accelerate delivery and reduce operational risk.
Ensure reliability, observability, and cost controls across automated processes.
Develop and deploy LLM-powered capabilities including tool-using agents, prompt strategies, embeddings, vector search, and retrieval-augmented generation (RAG) where appropriate.
Evaluate model and agent behavior using quantitative metrics, structured test cases, and regression suites.
Apply guardrails, validation, and monitoring to ensure responsible, predictable, and secure AI behavior in production.
Operate AI agents and automation solutions in production, responding to incidents, failures, and unexpected behaviors.
Partner with IT Operations and Security to ensure solutions meet availability, security, privacy, and compliance requirements.
Participate in on-call or escalation rotations as required for critical AI-enabled systems.
Partner with business stakeholders to identify high-impact automation opportunities and translate them into AI agent designs.
Provide technical leadership, design guidance, and mentorship to engineers working on AI and automation initiatives.
Contribute to architectural standards, best practices, and documentation for agent-based AI systems.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
Strong experience with API-driven system integration and service-based architectures in production environments.
Hands-on experience building and operating AI-driven automation or agent-based systems.
Solid understanding of software engineering best practices, version control, testing, and CI/CD.
Demonstrated ability to deliver automation with measurable business impact.
Experience with Generative AI, LLM-based agents, tool/function calling, and orchestration frameworks.
Experience integrating AI solutions with enterprise applications and workflows.
Familiarity with monitoring, observability, and cost management for AI systems.

Benefits

Comp & perks

Competitive compensation
Remote-first lifestyle
Career growth opportunities across industries and technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI agentsmulti-step reasoningdecision-makingtask executionagent-based solutionsLLMsAPI-driven system integrationautomationsoftware engineering best practicesGenerative AI

Soft Skills

technical leadershipdesign guidancementorshipcollaborationproblem-solvingcommunicationstakeholder engagementincident responseoptimizationadaptability

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Information Systems