Senior Agentic AI Engineer - Build AI-Powered Workflows

AgileEngine, LLC.; Aveiro; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation (USD)

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education. You will lead the development of reusable patterns for agent orchestration, tool use, and memory management, while integrating agents into end-to-end software lifecycles.

The role requires 5+ years in software product development, strong Java/Spring Boot skills, experience with AI agents, and cloud AWS expertise.

Qualifications

• 5+ years in a software product development environment.
• Strong proficiency with Java and Spring Boot.
• Experience with relational databases.
• Hands-on AI agents, tool-using LLMs, or orchestrated workflows.
• Experience using agents to support coding, review, testing, or incident response.
• Senior-level experience building production software systems.
• Experience with TypeScript, Python, RESTful APIs, and AWS.
• Experience with APIs, workflow engines, event-driven architectures, integrations, or distributed systems.
• Strong 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.

Responsibilities

• 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 elevate 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.

Skills

Java

Spring Boot

RESTful APIs

TypeScript

Python

Leadership

Communication

Enterprise SaaS

Distributed systems

Tools

AWS

Relational Databases

Job description

AgileEngine is seeking a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education. You will lead the development of reusable patterns for agent orchestration, tool use, and memory management, while integrating agents into end-to-end software lifecycles.

The role requires 5+ years in software product development, strong Java/Spring Boot skills, experience with AI agents, and cloud AWS expertise.