ID 98909
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
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.
The mandatory requirements are hands-on experience building AI applications and agents, Python, TypeScript, and AWS, 5+ years in software product development, Java and Spring Boot, JavaScript and React, relational databases, and strong English communication skills.
Must haves
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5+ years of experience i n 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 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, Python, RESTful APIs, and 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 building enterprise SaaS or multi-tenant systems.
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Leadership mindset and ability to drive changes across different teams.
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Upper-intermediate English level.
Nice to haves
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Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows.
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Familiarity with higher education technology and its privacy and compliance requirements.
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Experience leading technical transformation or introducing new engineering practices.
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.
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Demonstrate the ability to use AI coding agents as productive engineering collaborators across an application codebase.
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Provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.
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Review, test, secure, and improve agent-generated code rather than accepting outputs without verification.
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Decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.
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Create workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and escalate to people when appropriate.
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Design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
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Move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.
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Understand problems deeply, make appropriate tradeoffs, and deliver complete solutions that customers can depend on.
Perks and benefits
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Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;
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Competitive compensation: We match your skills and contributions with USD-based compensation and budgets for education, fitness, and team activities;
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A selection of exciting projects: Work with Fortune 500 enterprises and leading product brands using modern solutions;
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Flextime: Flexible schedule with remote and office options for work-life balance;
Meet Our Recruitment Process
Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:
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Short online form to confirm basic requirements
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30–60 minute skills assessment
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5-minute introduction video
Synchronous stage – Live interviews
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Technical interview with our engineering team (scheduled at your convenience)
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Final interview with your future teammates
If it’s a match—you’ll get an offer!
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