Senior Agentic AI Engineer ID98909

AgileEngine, LLC.; Ciudad de Mendoza; Hybrid; ARS 230,602,000 - 322,843,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. 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 development of agent orchestration patterns and ensure robust, scalable architectures.

Responsibilities include mentoring engineers, integrating agents into full development lifecycles, and establishing standards for observability, security, and governance. Remote-friendly hybrid work option is available.

Qualifications

• We require 5+ years in a software product development setting with ownership over complex systems.
• Proficiency in Java and Spring Boot is essential for building scalable backend services.
• Experience designing AI agents, tool-using LLM apps, and orchestrated workflows.
• Strong track record with enterprise SaaS or multi-tenant architectures.
• Deep knowledge of testing, observability, security, and fault tolerance.

Responsibilities

• Design and build agentic workflows coordinating tools, services, data, and approvals.
• Develop reusable patterns for agent orchestration, tool use, context, memory, and collaboration.
• Apply agentic coding tools across planning, implementation, testing, and review.
• Integrate agents into development, testing, deployment, and operations workflows.
• Set standards for evaluation, observability, reliability, security, and governance.
• Prototype new agentic capabilities and scale successful experiments to production.
• Deliver complete products, not just demos of model integrations.
• Mentor engineers and guide agentic-first technical strategy.
• Collaborate with product leaders to connect agentic capabilities to outcomes.
• Review and secure agent-generated code and ensure verification before use.

Skills

5+ years in software product dev

Java

Spring Boot

Relational databases

AI agents

tool-using LLM apps

orchestrated workflows

agent-based coding assistance

TypeScript

Python

RESTful APIs

AWS infrastructure

APIs, events & distributed systems

testing & observability

security & disaster recovery

architectural decision making

leadership & influence

enterprise SaaS / multi-tenant

Tools

Job description

MENDOZA, Argentina

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 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 relational databases.
• Hands-on experience building AI agents, tool-using LLM applications, or orchestrated 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, Python, RESTful APIs, and 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 building enterprise SaaS or multi-tenant systems.
• Leadership mindset and ability to drive changes across different teams.

NICE TO HAVES

• Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows.
• 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.
• Demonstrate the ability to use AI coding agents as productive engineering collaborators across an application codebase.
• Provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.
• Review, test, secure, and improve agent-generated code rather than accepting outputs without verification.
• Decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.
• Create workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and elevate to people when appropriate.
• Design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
• Move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.
• Understand problems deeply, make appropriate tradeoffs, and deliver complete solutions that customers can depend on.

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.