Senior AI Engineer: Agentic Workflows & Enterprise AI

AgileEngine, LLC.

San Miguel de Tucumán

On-site

ARS 138,361,000 - 199,855,000

Full time

2 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay
Exciting projects
Flextime

Job summary

AgileEngine, LLC. is seeking a Senior AI Engineer in Tucumán, Argentina to design and build agentic workflows and AI-powered products for enterprise clients in higher education.

You will craft scalable agent orchestration patterns, integrate AI agents into end-to-end development workflows, and set standards for reliability and governance. You will lead the implementation across planning, testing, and deployment stages, mentor peers, and help shape an agentic-first technical strategy while

Qualifications

  • 5+ years of experience in a software product development environment.
  • Hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows.
  • Senior-level experience building and operating production software systems.
  • Experience with APIs, workflow engines, event-driven architectures, integrations, or distributed systems.
  • Strong understanding of testing, observability, security, permissions, and failure recovery.

Responsibilities

  • Design and build agentic workflows that coordinate tools, services, data, and human approvals.
  • Develop reusable patterns for agent orchestration, tool use, context management, memory, and multi-agent collaboration.
  • Use agentic coding tools throughout the development lifecycle, including planning, implementation, testing, debugging, refactoring, code review, and documentation.
  • Integrate agents into software development, testing, deployment, support, and operational workflows.
  • Establish standards for agent evaluation, observability, reliability, security, and governance.
  • Prototype new agentic capabilities and turn successful experiments into production systems.
  • Build complete, usable products— not just demonstrations or isolated model integrations.
  • Identify opportunities to improve engineering productivity and product delivery through agentic development.
  • Mentor engineers and help shape an agentic-first technical strategy across the organization.
  • Collaborate with product and engineering leaders to connect agentic capabilities to meaningful outcomes.
  • Demonstrate the ability to use AI coding agents as productive engineering collaborators across an application codebase.
  • Provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.
  • Review, test, secure, and improve agent-generated code rather than accepting outputs without verification.
  • Decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.
  • Create workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and escape to people when appropriate.
  • Design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
  • Move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.
  • Understand problems deeply, make appropriate tradeoffs, and deliver complete solutions that customers can depend on.

Skills

Leadership mindset
Strong communication
Systems thinking
Problem solving
Mentoring
Agile methodologies

Tools

Java
Spring Boot
TypeScript
Python
RESTful APIs
AWS

Job description

AgileEngine, LLC. is seeking a Senior AI Engineer in Tucumán, Argentina to design and build agentic workflows and AI-powered products for enterprise clients in higher education.

You will craft scalable agent orchestration patterns, integrate AI agents into end-to-end development workflows, and set standards for reliability and governance. You will lead the implementation across planning, testing, and deployment stages, mentor peers, and help shape an agentic-first technical strategy while

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