Senior AI Agentic Infrastructure Engineer

Compass International Holdings; Ciudad de Mendoza; Hybrid; ARS 185,819,000 - 278,728,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime (remote and office options)

Job summary

AgileEngine is seeking a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education. You will lead the development of scalable, secure, and observable AI agents that coordinate tools, services, and human approvals.

The role requires hands-on experience with AI agents, LLM applications, and multi-tenant systems, with strong Java/Spring Boot skills and AWS infrastructure.

Qualifications

• 5+ years in a software product development environment.
• Proficient in Java and Spring Boot.
• Experience with relational databases.
• Hands-on experience building AI agents and multi-agent workflows.
• Senior-level experience operating production software systems.
• Experience with TypeScript, Python, RESTful APIs, AWS.
• Knowledge of testing, observability, security, and failure recovery.
• Ability to turn ambiguous opportunities into practical solutions.
• Strong communication and ability to influence engineering practices.
• Experience building enterprise SaaS or multi-tenant systems.
• Leadership mindset to drive changes across teams.

Responsibilities

• Design agentic workflows that coordinate tools, services, data, and human approvals.
• Develop reusable patterns for agent orchestration and multi-agent collaboration.
• Use AI coding tools across planning, implementation, testing, and review.
• Integrate agents into development, testing, deployment, and operations workflows.
• Set standards for evaluation, observability, security, and governance.
• Prototype new agentic capabilities and scale successful experiments.
• Deliver complete, production-ready products with robust workflows.
• Mentor engineers and shape an agentic-focused strategy.
• Collaborate with leaders to connect capabilities to outcomes.
• Review and secure agent-generated code and ensure architectural integrity.
• Decompose work into agent-ready tasks while preserving product intent.
• Create workflows where agents reason, call APIs, manage state, and recover from failures.
• Design user-centric, auditable agentic applications with reliable error handling.
• Move from prototype to production with attention to performance, security, and maintenance.

Skills

Java

Spring Boot

Relational databases

AI agents

LLM workflows

Code review

Communication

Leadership

Enterprise SaaS

Tools

AWS

RESTful APIs

TypeScript

Python

Event-driven architectures

Distributed systems

LLM tooling

Job description

AgileEngine is seeking a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education. You will lead the development of scalable, secure, and observable AI agents that coordinate tools, services, and human approvals.

The role requires hands-on experience with AI agents, LLM applications, and multi-tenant systems, with strong Java/Spring Boot skills and AWS infrastructure.