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 design and build agentic workflows and AI-powered products for enterprise customers in higher education.
MUST HAVES
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5+ years of experience in a software product development environment.
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Strong proficiency with Java and Spring Boot.
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Experience with JavaScript and React.
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Experience with relational databases.
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Hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows.
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Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows.
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Experience using agents to support coding, code review, testing, release management, or incident response.
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Senior-level experience building and operating production software systems.
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Experience with TypeScript.
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Experience with Python.
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Experience with RESTful APIs.
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Experience with infrastructure on AWS.
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Experience with APIs, workflow engines, event-driven architectures, integrations, or distributed systems.
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Strong understanding of testing, observability, security, permissions, and failure recovery.
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Ability to turn ambiguous opportunities into practical, reliable technical solutions.
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Strong communication skills and the ability to influence engineering practices across a team.
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Experience leading technical transformation or introducing new engineering practices.
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Upper-intermediate English level.
NICE TO HAVES
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Familiarity with higher education technology and its privacy and compliance requirements.
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Experience building enterprise SaaS or multi-tenant systems.
WHAT YOU WILL DO
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Design and build agentic workflows that coordinate tools, services, data, and human approvals.
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Develop reusable patterns for agent orchestration, tool use, context management, memory, and multi-agent collaboration.
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Use agentic coding tools throughout the development lifecycle, including planning, implementation, testing, debugging, refactoring, code review, and documentation.
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Integrate agents into software development, testing, deployment, support, and operational workflows.
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Establish standards for agent evaluation, observability, reliability, security, and governance.
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Prototype new agentic capabilities and turn successful experiments into production systems.
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Build complete, usable products—not just demonstrations or isolated model integrations.
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Identify opportunities to improve engineering productivity and product delivery through agentic development.
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Mentor engineers and help shape an agentic-first technical strategy across the organization.
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Collaborate with product and engineering leaders to connect agentic capabilities to meaningful outcomes.
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.