Senior Agentic AI Engineer - AI-Powered Workflows

AgileEngine, LLC.; Barcelona; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC in Barcelona seeks a Senior Agentic AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education. You will lead the development of scalable agent orchestration, tool use, memory management, and multi-agent collaboration, while ensuring production-grade quality across planning, testing, and deployment.

The role emphasizes hands-on coding, integration into CI/CD pipelines, and shaping an agentic-first technical strategy.

Qualifications

• 5+ years of experience in a software product development environment.
• Proficiency with Java and Spring Boot.
• 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.

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.

Skills

5+ years exp in product development

Java & Spring Boot

Relational databases

AI agents

LLM apps

Orchestrated workflows

Multi-agent systems

RAG

Vector search

Agent evaluation

Human-in-the-loop

Code automation

Code review

Testing

Release management

Incident response

Senior-level

Production systems

TypeScript

Python

REST APIs

AWS

APIs

Workflow engines

Event-driven architectures

Integrations

Distributed systems

Testing

Observability

Security

Permissions

Failure recovery

Problem solving

Communication

Engineering transformation

Tools

AWS

Job description

AgileEngine, LLC in Barcelona seeks a Senior Agentic AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education. You will lead the development of scalable agent orchestration, tool use, memory management, and multi-agent collaboration, while ensuring production-grade quality across planning, testing, and deployment.

The role emphasizes hands-on coding, integration into CI/CD pipelines, and shaping an agentic-first technical strategy.