Senior AI Engineer

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Sonatafy Technology - Mexico

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

B2B • Enterprise

Sonatafy Technology - Mexico is a nearshore software development firm that provides staff augmentation, fully managed software projects, rapid prototyping, and fractional CTO services. The company supplies pre-vetted full‑stack engineers and specialists in front-end, back-end, mobile, DevOps, QA, database management and UI/UX to help businesses accelerate product development, scale teams quickly, and reduce costs while maintaining time-zone alignment and strong English proficiency. Sonatafy serves startups and enterprise clients across industries such as healthcare, financial services/fintech, SaaS/IT and manufacturing.

📋 Description

• 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

• 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

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