Senior Generative AI & Agentic Systems Engineer

Shape the future of financial services — engineer intelligent, autonomous systems that turn advanced AI into real-world impact.

Lisbon-based opportunity with a hybrid work model, including up to 2 remote days per week.

As a Senior Generative AI & Agentic Systems Engineer, you will be working for our client, a major European financial group focused on delivering innovative, secure, and impactful solutions. You will design and deploy advanced AI and machine learning systems, develop agentic solutions, and help transform complex business challenges into scalable, high-value technology. Collaborating with software engineers, data specialists, product managers, and senior stakeholders, you will contribute to responsible AI initiatives aligned with business goals, compliance requirements, and measurable ROI.

Your main responsibilities:

• Design, develop, and deploy tailored Generative AI and agentic solutions.
• Build and scale autonomous and multi-agent architectures using suitable frameworks or native AI SDKs.
• Implement Retrieval-Augmented Generation (RAG), vector databases, APIs, data pipelines, and agentic workflows.
• Design agent harness components covering memory, state management, context storage, file systems, and communication protocols.
• Evaluate business challenges and determine how AI solutions can support corporate objectives and measurable outcomes.
• Collaborate with data engineers, product managers, engineering teams, and business stakeholders.
• Lead testing, validation, documentation, and knowledge-sharing activities to ensure reliable and reproducible AI solutions.
• Support data privacy, security, regulatory compliance, and ethical AI practices while communicating complex concepts to senior executives.

You're ideal for this role if you have:

• At least 5 years of hands-on experience in machine learning, AI development, and software engineering.
• A Bachelor’s or Master’s degree in Computer Science or a related field.
• Advanced Python programming skills and strong software development experience.
• Proven experience developing and deploying agentic solutions and designing AI system architectures.
• Practical knowledge of LangChain, LangGraph, AutoGen, CrewAI, or native SDKs such as the Claude Agent SDK, Google GenAI SDK, or Google ADK.
• Strong understanding of agent harness components, including memory management, state handling, context storage, MCP servers, and agent communication protocols such as A2A and ACP.
• Experience working with open-source and commercial LLMs, RAG techniques, and vector databases.
• Familiarity with cloud platforms such as GCP, AWS, or Azure for AI/ML deployments, combined with strong analytical, communication, and teamwork skills.

It is a strong plus if you have:

• Expertise in Generative AI model training, fine-tuning, and deployment.
• Practical experience with traditional AI/ML methods, including decision trees, SVMs, clustering, or neural networks.
• Knowledge of MLOps practices and tools, ethical AI principles, model interpretability, or scalable cloud-native architectures.
• Fluency in French.

Language Required for the role: Fluent English at C1 level or higher is mandatory. Willingness to learn French is expected.

Eligibility for the role: Only candidates with an existing legal right to work in Europe will be considered for this role.

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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.