Jobs in Portugal, in English.

Senior Agentic AI Engineer in Portugal

Remote in Portugal·Full-time·Added today (last checked 30 Oct)

AgileEngine

21 open roles

Our summary

Work mode
Remote (Portugal)
Contract
Full-time
Experience
5+ years

Skills

AgileEngine is hiring for this role in several places. This vacancy is in Portugal.

Requirements

What we're looking for

The mandatory requirements are hands-on experience building AI applications and agents, Python, TypeScript, and AWS, 5+ years in software product development, Java and Spring Boot, JavaScript and React, relational databases, and strong English communication skills.

Nice to have

  • 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.

Pay & benefits

What you'll get

  • 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

The role

We are looking for a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education.

What you'll 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.
  • 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 escalate 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.

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 to support 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 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 building enterprise SaaS or multi-tenant systems.
  • Leadership mindset and ability to drive changes across different teams.
  • Upper-intermediate English level.

About AgileEngine

Industry
Software Engineering
Founded
2009
Employees
1,000–5,000
Headquarters
Washington, D.C., USA
All open roles at AgileEngine
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