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12,000+ live jobsSenior 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
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