Job Description AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
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 Agentic AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education.
MUST HAVES - 5+ years of experience in a software product development environment.
- Strong proficiency with Java and Spring Boot.
- Experience with JavaScript and React.
- Experience 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.




- Experience leading technical transformation or introducing new engineering practices.
- Upper-intermediate English level.
NICE TO HAVES - Familiarity with higher education technology and its privacy and compliance requirements.
- Experience building enterprise SaaS or multi-tenant systems.
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 : Versátil schedule with remote and office options.
Requirements
1. +5 years of experience in a software product development environment.
2. Strong proficiency with: - Java and Spring Boot - JavaScript and React - Relational Databases
3. Hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows.
4. Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows.
5. Experience using agents to support coding, code review, testing, release management, or incident response.
6. Senior-level experience building and operating production software systems.
7. Experience in the following: - TypeScript - Python - RESTful APIs - Infrastructure on AWS
8. Experience with APIs, workflow engines, event-driven architectures, integrations, or distributed systems.
9. Strong understanding of testing, observability, security, permissions, and failure recovery.
10. Ability to turn ambiguous opportunities into practical, reliable technical solutions.
11. Strong communication skills and the ability to influence engineering practices across a team.
12. Experience building enterprise SaaS or multi-tenant systems.
13. Familiarity with higher education technology and its privacy and compliance requirements.
14. Experience leading technical transformation or introducing new engineering practices.

📌 Senior Agentic Ai Engineer Id87667 (Santiago de Querétaro)
🏢 Agileengine
📍 Santiago de Querétaro