Senior Agentic AI Engineer

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

• 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