About this role
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
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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
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Strong React, API development, application architecture, automated testing, CI/CD
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Experience building AI-assisted apps, agentic workflows, or tool-calling solutions
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Experience with MCP, structured outputs, context management, or comparable frameworks
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Experience with auth/authz, RBAC, and secure coding practices
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Full lifecycle experience: requirements → architecture → deployment → production support
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Upper-intermediate English level.
NICE TO HAVES
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Databricks, Unity Catalog, Data Lake, or comparable
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GitLab CI/CD or comparable
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Policy-as-code, infrastructure-as-code, configuration-driven platforms
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Experience building data marketplaces, governance platforms, or internal developer platforms
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Familiarity with privacy/security/regulatory/AI governance controls
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Experience in regulated or risk-sensitive environments.
WHAT YOU WILL DO
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Architect and develop secure enterprise applications (React, TypeScript, Python, API services)
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Build agentic workflows and MCP-based integrations connecting AI applications to enterprise data/tools
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Implement structured outputs, workflow state management, human-approval steps, and error recovery
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Build authentication, authorization, RBAC, and audit logging
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Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost)
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Partner with domain experts and PMs to translate requirements into scalable solutions
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Design reusable, configuration-driven components for cross-team use
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Own production-quality code, tests, and documentation
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Mentor other engineers; guide technical direction across teams
PERKS AND BENEFITS
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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.