Senior agentic ai engineer id87667 (Monterrey)

Senior agentic ai engineer id87667 (Monterrey)

10 oct
|
Agileengine
|
Monterrey

10 oct

Agileengine

Monterrey

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 : adaptable schedule with remote and office options.

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📌 Senior agentic ai engineer id87667 (Monterrey)
🏢 Agileengine
📍 Monterrey

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