Descrição da vaga
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!
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)
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5+ years software development experience
(or equivalent demonstrated skill)
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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
Requisitos
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
Benefícios
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Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
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Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
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Exciting projects : Modern solutions with Fortune 500 and top product companies.
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Flextime : Flexible schedule with remote and office options.