Senior AI Engineer (Agentic Workflows)

Quick Facts

• Role: Senior AI Engineer (Agentic Workflows)

• Focus: Agentic workflows and AI-powered products for enterprise (higher education)

Description

Design and build agentic workflows and AI-powered products for enterprise customers in higher education. Develop reusable patterns for agent orchestration, tool use, context management, memory, and multi-agent collaboration, then integrate agents across the software development lifecycle. Establish standards for evaluation, observability, reliability, security, and governance while turning prototypes into production-ready systems.

Responsibilities

• Design and build agentic workflows coordinating tools, services, data, and human approvals

• Develop reusable patterns for agent orchestration and multi-agent collaboration

• Use AI coding agents across planning, implementation, testing, debugging, refactoring, code review, and documentation

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

• Define standards for agent evaluation, observability, reliability, security, and governance

• Prototype new agentic capabilities and promote successful experiments to production

• Build complete, usable products (not just demos or isolated model integrations)

• Improve engineering productivity and product delivery through agentic development

• Mentor engineers and shape an agentic-first technical strategy

• Collaborate with product and engineering leaders to connect capabilities to outcomes

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

• Review, test, secure, and improve agent-generated code with proper verification

• Decompose complex work into agent-ready tasks while maintaining architectural consistency

• Enable agents to reason, select tools, call APIs, manage state, recover from failures, and escalate to people

• Design for real user needs: UX, reliable workflows, permissions, audit trails, and error handling

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

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 for 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 AWS infrastructure

• 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

• Experience building enterprise SaaS or multi-tenant systems

• Leadership mindset to drive changes across 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

Benefits

• Professional growth: mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation with USD-based budgeting for education, fitness, and team activities

• Exciting projects with Fortune 500 enterprises and modern solutions

• Flextime with remote and office options