Senior Agentic AI Engineer ID98909

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 AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education.

MUST HAVES

• 5+ years of experience in a software product development environment.

• Strong proficiency with Java and Spring Boot.

• Experience with JavaScript and React.

• Experience with relational databases.

• Hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows.

• Experience using agents to support coding, code review, testing, release management, or incident response.

• Senior-level experience building and operating production software systems.

• Experience with TypeScript, Python, RESTful APIs, and infrastructure on AWS.

• Experience with APIs, workflow engines, event-driven architectures, integrations, or distributed systems.

• Strong understanding of testing, observability, security, permissions, and failure recovery.

• Ability to turn ambiguous opportunities into practical, reliable technical solutions.

• Strong communication skills and the ability to influence engineering practices across a team.

• Experience building enterprise SaaS or multi-tenant systems.

• Leadership mindset and ability to drive changes across different teams.

• Upper-intermediate English level.

NICE TO HAVES

• Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows.

• Familiarity with higher education technology and its privacy and compliance requirements.

• Experience leading technical transformation or introducing new engineering practices.

WHAT YOU WILL DO

• Design and build agentic workflows that coordinate tools, services, data, and human approvals.

• Develop reusable patterns for agent orchestration, tool use, context management, memory, and multi-agent collaboration.

• Use agentic coding tools throughout the development lifecycle, including planning, implementation, testing, debugging, refactoring, code review, and documentation.

• Integrate agents into software development, testing, deployment, support, and operational workflows.

• Establish standards for agent evaluation, observability, reliability, security, and governance.

• Prototype new agentic capabilities and turn successful experiments into production systems.

• Build complete, usable products—not just demonstrations or isolated model integrations.

• Identify opportunities to improve engineering productivity and product delivery through agentic development.

• Mentor engineers and help shape an agentic-first technical strategy across the organization.

• Collaborate with product and engineering leaders to connect agentic capabilities to meaningful outcomes.

• Demonstrate the ability to use AI coding agents as productive engineering collaborators across an application codebase.

• Provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.

• Review, test, secure, and improve agent-generated code rather than accepting outputs without verification.

• Decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.

• Create workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and escalate to people when appropriate.

• Design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.

• Move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.

• Understand problems deeply, make appropriate tradeoffs, and deliver complete solutions that customers can depend on.

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.