Senior Agentic AI Engineer ID87667

AgileEngine, LLC.; Monterrey; On-site; MXN 2,534,000 - 3,258,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation: USD-based

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior AI Engineer to design and build agentic workflows and AI-powered applications for enterprise software products in Monterrey, Mexico. The role focuses on Java/Spring Boot, AI agents, and scalable architectures for production systems.

You will develop patterns for agent orchestration, integrate agents into DevOps and product workflows, and mentor engineers on agentic-first practices to deliver reliable, secure solutions.

Qualifications

• 5+ years in a software product development environment.
• Strong proficiency with Java and Spring Boot.
• Strong proficiency with relational databases.
• Hands-on experience with AI agents, tool-using LLM apps, or orchestrated workflows.
• Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows.
• Experience using agents to support coding, code review, testing, release management, or incident response.
• Senior-level experience building and operating production software systems.
• Experience with TypeScript.
• Experience with Python.
• Experience with RESTful APIs.
• Experience with AWS.
• APIs, workflow engines, event-driven architectures, integrations, or distributed systems.
• Strong testing, observability, security, permissions, and failure recovery.
• Ability to turn ambiguous opportunities into practical, reliable technical solutions.
• Strong communication skills and the ability to influence engineering practices.
• Demonstrated ability to use AI coding agents as productive engineering collaborators.
• Ability to provide agents with clear context, constraints, architecture, acceptance criteria, and direction.
• Strong judgment in reviewing and securing agent-generated code.
• Decompose complex work into agent-ready tasks while preserving architecture.
• Design agentic apps around real user needs with good UX, permissions, audit trails, and error handling.
• Move from prototype to production addressing performance, security, monitoring, cost, and maintenance.
• A product mindset to understand problems, tradeoffs, and deliver dependable solutions.

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 planning, implementation, testing, debugging, refactoring, code review, and documentation.
• Integrate agents into development, testing, deployment, support, and operational workflows.
• Establish standards for agent evaluation, observability, reliability, security, and governance.
• Prototype new agentic capabilities and turn 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 shape an agentic-first technical strategy across the organization.
• Collaborate with product and engineering leaders to connect agentic capabilities to meaningful outcomes.

Skills

5+ years experience

Java

Spring Boot

Relational databases

AI agents

tool-using LLM apps

orchestrated workflows

multi-agent systems

RAG

vector search

agent evaluation

human-in-the-loop

TypeScript

Python

RESTful APIs

AWS

APIs and event-driven architectures

testing and observability

security and failure recovery

clear technical direction

communication skills

AI coding agents collaboration

production software delivery

architecture alignment

Tools

Java

Spring Boot

Relational databases

Python

TypeScript

RESTful APIs

AWS

Job description

Monterrey, Mexico | Posted on 10/08/2026

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior AI Engineer to design and build agentic workflows and AI-powered applications for enterprise software products.

MUST HAVES

• 5+ years of experience in a software product development environment.
• Strong proficiency with Java and Spring Boot.
• Strong proficiency with relational databases.
• Hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows.
• Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows.
• Experience using agents to support coding, code review, testing, release management, or incident response.
• Senior-level experience building and operating production software systems.
• Experience with TypeScript.
• Experience with Python.
• Experience with RESTful APIs.
• Experience with infrastructure on AWS.
• Experience with APIs, workflow engines, event-driven architectures, integrations, or distributed systems.
• Strong understanding of testing, observability, security, permissions, and failure recovery.
• Ability to turn ambiguous opportunities into practical, reliable technical solutions.
• Strong communication skills and the ability to influence engineering practices across a team.
• Demonstrated ability to use AI coding agents as productive engineering collaborators across an application codebase.
• Ability to provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.
• Strong judgment in reviewing, testing, securing, and improving agent-generated code rather than accepting outputs without verification.
• Ability to decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.
• Experience creating workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and escalation to people when appropriate.
• Ability to design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
• Ability to move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.
• A product mindset: the ability to understand a problem deeply, make appropriate tradeoffs, and deliver a complete solution that customers can depend on.

NICE TO HAVES

• Experience building enterprise SaaS or multi-tenant systems.
• Familiarity with higher education technology and its privacy and compliance requirements.
• Experience leading technical transformation or introducing new engineering practices.

WHAT YOU WILL DO

• 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.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.