Remote Ai Engineer: Llms, Genai & Ai Apps

Fullstack; Buenos Aires; Hybrid; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Mentorship

Education budget

Fitness budget

Team activities

Flexible schedule

Job summary

AgileEngine is seeking a Senior Agentic AI Engineer to build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools.

You will architect and develop secure enterprise applications using React, TypeScript, Python, and API services, and implement MCP-based integrations to connect AI apps to data and tools across the organization. This role emphasizes structured outputs, workflow state management, and robust security practices.

Qualifications

• Bachelor's in CS/Software Engineering or related STEM field.
• 5+ years software development experience or equivalent.
• Strong React, API development, architecture, testing, and CI/CD.
• Experience building AI-assisted apps, agentic workflows, or tool-calling solutions.
• Experience with MCP, structured outputs, context management or equivalent frameworks.
• Experience with auth/authz, RBAC, and secure coding practices.

Responsibilities

• Architect and develop secure enterprise applications (React, TS, Python, API services).
• Build agentic workflows and MCP-based integrations connecting AI apps to enterprise data/tools.
• Implement structured outputs, workflow state management, human approvals, and error recovery.
• Build authentication, authorization, RBAC, and audit logging.
• Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost).
• Partner with domain experts and PMs to translate requirements into scalable solutions.
• Design reusable, configuration-driven components for cross-team use.
• Own production-quality code, tests, and documentation.
• Mentor other engineers; guide technical direction across teams.

Skills

React

API development

Architecture design

Automated testing

CI/CD

AI-assisted apps

Agentic workflows

MCP integrations

Structured outputs

Context management

Auth & RBAC security

Secure coding

Education

Bachelor's in CS/Software Engineering

Bachelor's + Master's in STEM

Tools

GitLab CI/CD

Databricks

Unity Catalog

Data Lake

Policy-as-code

Job description

AgileEngine is an Inc. 5000 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 build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools.

MUST HAVES

• Bachelor's in CS/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)
• 5+ years software development experience (or equivalent demonstrated skill)
• Strong React, API development, application architecture, automated testing, CI/CD
• Experience building AI-assisted apps, agentic workflows, or tool-calling solutions
• Experience with MCP, structured outputs, context management, or comparable frameworks
• Experience with auth/authz, RBAC, and secure coding practices

NICE TO HAVES

• Databricks, Unity Catalog, Data Lake, or comparable
• GitLab CI/CD or comparable
• Policy-as-code, infrastructure-as-code, configuration-driven platforms
• Experience building data marketplaces, governance platforms, or internal developer platforms
• Familiarity with privacy/security/regulatory/AI governance controls
• Experience in regulated or risk-sensitive environments.

WHAT YOU WILL DO

• Architect and develop secure enterprise applications (React, TypeScript, Python, API services)
• Build agentic workflows and MCP-based integrations connecting AI applications to enterprise data/tools
• Implement structured outputs, workflow state management, human-approval steps, and error recovery
• Build authentication, authorization, RBAC, and audit logging
• Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost)
• Partner with domain experts and PMs to translate requirements into scalable solutions
• Design reusable, configuration-driven components for cross-team use
• Own production-quality code, tests, and documentation
• Mentor other engineers; guide technical direction across teams

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.