Senior Agentic AI Engineer ID92537

AgileEngine; São Paulo; Hybrid; BRL 649,000 - 1,027,000; Full time

Benefits offered by this job

Mentorship

Tech Talks

Growth roadmaps

Flexible schedule

Remote and office options

Job summary

AgileEngine, LLC. 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 apps using React, TypeScript, Python, and API services, while mentoring engineers and guiding cross-team technical direction.

Qualifications

• Bachelor's in CS/Software Engineering or STEM; Master's preferred.
• 5+ years software development experience.
• 5+ years with Python, JavaScript/TypeScript.
• Strong React, API development, architecture, tests, CI/CD.
• Experience with AI-assisted apps and agentic workflows.
• Experience with MCP, structured outputs, context management.
• Auth/authz, RBAC, and secure coding practices.
• Full lifecycle from requirements to production support.
• Upper-intermediate English level.

Responsibilities

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

Skills

5+ years software development

Python

JavaScript/TypeScript

React

API development

Application architecture

Automated testing

CI/CD

AI-assisted apps

Agentic workflows

Tool-calling solutions

MCP

Structured outputs

Context management

Auth/authz

RBAC

Secure coding practices

Full lifecycle

English proficiency

Education

Bachelor's in CS/Software Engineering/related STEM

Bachelor's + Master's/higher in STEM

Tools

Databricks

Unity Catalog

Data Lake

GitLab CI/CD

Policy-as-code

Infrastructure-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)
• 5+ years with Python, JavaScript/TypeScript, or comparable languages
• 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
• Full lifecycle experience: requirements → architecture → deployment → production support
• Upper-intermediate English level.

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.