Senior Agentic AI Engineer ID92537

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.

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.

- 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.

- 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.

- 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

- 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.