Senior Agentic AI Engineer - Build AI-Powered Workflows

AgileEngine, LLC.; Porto; Hybrid; EUR 107,000 - 161,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. seeks a Senior AI Engineer to design and build agentic workflows for enterprise software products. You will create reusable orchestration patterns for tool use, context management, memory, and multi-agent collaboration, and integrate agentic tools across the development lifecycle, testing, and production.

You will mentor engineers, shape an agentic-first strategy, and work with product and engineering leaders to deliver impact through practical, reliable AI-powered solutions.

Qualifications

• 5+ years in a software product development environment.
• Strong proficiency with Java and Spring Boot.
• Strong proficiency with relational databases.
• Hands-on experience building AI agents, tool-using LLM apps, 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 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 ability to influence engineering practices across a team.
• Demonstrated ability to use AI coding agents as productive engineering collaborators across an application codebase.
• Ability to provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.
• Strong judgment in reviewing, testing, securing, and improving agent-generated code.
• Ability to decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.
• Experience creating workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and escape to people when appropriate.
• Ability to design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
• Ability to move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.
• A product mindset: the ability to understand a problem deeply, make appropriate tradeoffs, and deliver a complete solution that customers can depend on.

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

Java and Spring Boot

Relational databases

AI agents, LLM apps, orchestrated work

Multi-agent systems, RAG, vector| 1

Agent evaluation, human-in-the-loop

Code-related agent usage (coding, test

Senior production software

TypeScript

Python

RESTful APIs

AWS

APIs, workflow engines, event-driven

Testing, observability, security

Architectural decomposition for agents

Communication & influencing engineers

AI coding agents collaboration

Context, constraints, architecture for

Agent-generated code review & secure

Production readiness: performance, Sca

Product mindset

Job description

AgileEngine, LLC. seeks a Senior AI Engineer to design and build agentic workflows for enterprise software products. You will create reusable orchestration patterns for tool use, context management, memory, and multi-agent collaboration, and integrate agentic tools across the development lifecycle, testing, and production.

You will mentor engineers, shape an agentic-first strategy, and work with product and engineering leaders to deliver impact through practical, reliable AI-powered solutions.