Senior Agentic AI Engineer ID92537

AgileEngine; Sur; Remote; COP 379,711,000 - 569,566,000; Full time

Benefits offered by this job

Remote-friendly

Competitive USD pay

Mentorship & Tech Talks

Flexitime

Fortune 500 projects

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. The role requires deep experience in Python/JavaScript/TypeScript, React, API services, and secure coding practices.

You will design MCP-based integrations and structured outputs, with a focus on authentication, RBAC, and end-to-end delivery. Flexible remote options are available for a globally distributed team.

Qualifications

• Bachelor’s in CS/Engineering or STEM, or equivalent.
• 5+ years in software development and 5+ years with Python/JS/TS.
• Strong React, API development, architecture, automated testing and CI/CD.
• Experience with AI-assisted apps, agentic workflows, or tool-calling solutions.
• Experience with MCP, structured outputs, and context management.
• Experience with auth/authz, RBAC, and secure coding practices.
• End-to-end product lifecycle experience.
• Upper-intermediate English level.

Responsibilities

• Architect and develop secure enterprise applications using React, TypeScript, Python, and API services.
• Build agentic workflows and MCP-based integrations linking AI apps to data/tools.
• Implement structured outputs, workflow state management, and human approvals.
• Build authentication, authorization, RBAC, and audit logging.
• Implement AI evaluation, guardrails, tracing, and monitoring.
• Collaborate 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 engineers.

Skills

5+ years in software development

Python/JavaScript/TypeScript

React

API development

CI/CD

secure coding

RBAC

full lifecycle delivery

English (upper-intermediate)

MCP & structured outputs

context management

Education

Bachelor's in CS/Software Engineering or STEM

Tools

Databricks

GitLab CI/CD

Policy-as-code

Infrastructure-as-code

Data Lake

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.