THIS OPENING IS AVAILABLE FOR CANDIDATES IN LATIN AMERICA, NOT LIMITED TO ONLY COLOMBIA.
Sonatafy Technology , headquartered in Scottsdale, Arizona, is an award-winning nearshore software development company with a strong reputation. They have a dedicated in-house team of engineers, offering end-to-end software solutions and supporting client development staff augmentation. Catering to companies of all sizes and industries, including some of the world's largest brands, Sonatafy Technology is a trusted provider of nearshore enterprise-level cloud and mobile application software development services.
Responsibilities:
AI Agents & Intelligent Automation (Primary Focus)
- 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.
Workflow Orchestration & System Integration
- 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.
Generative AI & LLM Engineering
- 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.
Data & Platform Enablement
- Consume and leverage existing data platforms and services to provide context and grounding for AI agents.
- Collaborate with platform and data teams to ensure AI solutions have reliable, well-governed inputs without owning large-scale pipeline development.
Operational Excellence & Security
- 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 complianc