**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. The mandatory requirements are hands\-on experience building AI applications and agents, Python, TypeScript, AWS, 5\+ years in software product development, Java and Spring Boot, JavaScript and React, relational databases, and strong English communication skills. **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 with multi\-agent systems, RAG, vector search, agent evaluation, or human\-in\-the\-loop 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**. * Experience with **Python**. * Experience with RESTful APIs. * Experience with 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 leading technical transformation or introducing new engineering practices. * Upper\-intermediate English level. **Nice to haves** * Familiarity with higher education technology and its privacy and compliance requirements. * Experience building enterprise SaaS or multi\-tenant systems. **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. **Perks and benefits** * **Growth without limits:** build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget * **Competitive compensation:** get recognition that reflects your skills and impact, with regular performance and compensation reviews * **Flexibility:** work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm * **Meaningful, modern projects:** build impactful products using modern technologies alongside global teams and leading brands * **Collaborative culture:** join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized * **Well\-being \& support:** access local well\-being programs and people\-focused support tailored to your location Job Type: Full\-time Work Location: Remote