Senior Agentic AI Engineer - Enterprise SaaS & Workflows

AgileEngine, LLC.; Rosarito; Hybrid; MXN 2,257,000 - 3,385,000; Full time

Benefits offered by this job

Mentorship

Tech Talks

Growth roadmaps

Remote/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. The role demands leadership in production systems, expertise in Java/Spring Boot, APIs, and cloud infrastructure (AWS).

You will drive multi-agent orchestration, ensure security and reliability, and mentor engineers across teams. The position offers flexible remote/office options with a people-first culture and growth opportunities through

Qualifications

• 5+ years in a software product development environment
• Proficiency with Java and Spring Boot
• Experience with relational databases
• Hands-on AI agents / tool-using LLM applications
• Experience using agents for coding, reviews, testing, or incident response
• Senior-level in production software systems
• Experience with TypeScript, Python, RESTful APIs, and AWS infrastructure
• Experience with APIs, workflow engines, event-driven architectures, integrations, or distributed systems
• Strong testing, observability, security, permissions, and failure recovery
• Ability to turn ambiguous opportunities into reliable technical 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 and build agentic workflows coordinating tools, services, data, and human approvals
• Develop reusable patterns for agent orchestration and multi-agent collaboration
• Use agentic coding tools throughout the lifecycle: planning, implementation, testing, debugging, refactoring, review, documentation
• Integrate agents into development, testing, deployment, support, and operations
• Establish standards for agent evaluation, observability, reliability, security, governance
• Prototype new agentic capabilities and turn experiments into production systems
• Build complete, usable products and not just demonstrations
• Identify opportunities to improve engineering productivity and product delivery via agentic development
• Mentor engineers and shape an agentic-first technical strategy across the org
• Collaborate with product/engineering to connect agentic capabilities to outcomes
• Demonstrate using AI coding agents as productive engineers across codebases
• Provide agents with context, constraints, architecture, acceptance criteria, and direction
• Review, test, secure, and improve agent-generated code
• Decompose complex work into agent-ready tasks maintaining architecture and product intent
• Create workflows where agents reason, select tools, call APIs, manage state, recover from failures, and involve humans when needed
• Design agentic applications for real user needs with intuitive experiences, permissions, audit trails, and error handling
• Move from prototype to production addressing performance, scalability, security, monitoring, cost, and maintenance
• Understand problems deeply and deliver complete customer-ready solutions

Skills

Java

Spring Boot

Relational databases

AI agents

LLM apps

Production software systems

APIs

RESTful APIs

AWS

Distributed systems

Testing

Observability

Security

Failure recovery

Communication

Enterprise SaaS

Multi-tenant systems

Leadership

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. The role demands leadership in production systems, expertise in Java/Spring Boot, APIs, and cloud infrastructure (AWS).

You will drive multi-agent orchestration, ensure security and reliability, and mentor engineers across teams. The position offers flexible remote/office options with a people-first culture and growth opportunities through