The Role
Architects and develops secure enterprise applications and agentic AI workflows using React, TypeScript, Python, APIs, and MCP integrations. Implements structured outputs, workflow state management, human approvals, error recovery, authentication, RBAC, audit logging, guardrails, evaluation, tracing, and monitoring. Partners with product and domain teams, builds reusable configuration-driven components, supports production systems, documents solutions, and mentors engineers.
Summary Generated by Built In
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.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, or a related STEM field, or a bachelor's degree plus a master's degree or higher in STEM
- 5+ years of software development experience or equivalent demonstrated skill
- 5+ years of experience with Python, JavaScript, TypeScript, or comparable languages
- Strong experience with React, API development, application architecture, automated testing, and CI/CD
- Experience building AI-assisted applications, agentic workflows, or tool-calling solutions
- Experience with MCP, structured outputs, context management, or comparable frameworks
- Experience with authentication, authorization, RBAC, and secure coding practices
- Full lifecycle experience from requirements and architecture through deployment and production support
- Upper-intermediate English proficiency
- Experience with Databricks, Unity Catalog, Data Lake, or comparable technologies
- Experience with GitLab CI/CD or comparable tools
- Experience with policy-as-code, infrastructure-as-code, or configuration-driven platforms
- Experience building data marketplaces, governance platforms, or internal developer platforms
- Familiarity with privacy, security, regulatory, or AI governance controls
- Experience in regulated or risk-sensitive environments
Am I A Good Fit?
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
