ID98909

••••••••••• 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.

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;

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;

Perks and benefits

  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;

  • Competitive compensation: We match your skills and contributions with USD-based compensation and budgets for education, fitness, and team activities;

  • A selection of exciting projects: Work with Fortune 500 enterprises and leading product brands using modern solutions;

  • 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:

  • Short online form to confirm basic requirements

  • 30–60 minute skills assessment

  • 5-minute introduction video

Synchronous stage – Live interviews

  • Technical interview with our engineering team (scheduled at your convenience)

  • Final interview with your future teammates

If it’s a match—you’ll get an offer!