AI Solutions Engineer

Our client is a leading international financial institution undergoing a significant digital transformation journey. The organization is investing in innovative technologies modern architectures and data-driven solutions to enhance operational efficiency agility and time-to-market. As part of this transformation the company is expanding its Artificial Intelligence capabilities to accelerate business innovation and deliver high-value solutions across multiple functions.

Key Responsibilities

• Design develop and maintain Retrieval-Augmented Generation (RAG) solutions including vector databases embeddings retrieval mechanisms and LLM integration.
• Develop and deploy Generative AI solutions leveraging Large Language Models (LLMs) and APIs.
• Integrate AI capabilities into existing Robotic Process Automation (RPA) workflows to improve business process efficiency.
• Assess evaluate and recommend AI frameworks platforms and technologies.
• Build Proofs of Concept (PoCs) and lead the industrialization of successful initiatives into production environments.
• Ensure AI solutions are scalable observable secure and compliant with data privacy security and regulatory requirements.
• Monitor evaluate and optimize model performance latency and operational costs.
• Collaborate with cross-functional teams to identify and implement AI-driven solutions that create business value.
• Mentor and support RPA developers transitioning into AI-related roles and technologies.

Qualifications :

• Minimum of 5 years of experience in software development.
• Strong proficiency in Python and software engineering best practices.
• Proven experience developing data pipelines APIs and system integrations.
• Hands-on experience in Artificial Intelligence projects including Generative AI Retrieval-Augmented Generation (RAG) Natural Language Processing (NLP) or Machine Learning (ML).
• Solid understanding of prompt engineering techniques and LLM optimization strategies.
• Experience working with Agile methodologies and modern DevOps practices including CI/CD Git Kubernetes and related technologies.
• Strong communication skills and ability to work effectively within multicultural and hybrid teams.
• Professional proficiency in English (spoken and written).

Nice-to-Have

• Experience training fine-tuning or adapting smaller language models.
• Knowledge of Agentic AI architectures and frameworks.
• Familiarity with cloud-based AI services and MLOps practices.
• Experience with vector databases such as Pinecone Weaviate Milvus or similar technologies.

Soft Skills

• Organized detail-oriented and process-driven mindset.
• Excellent communication skills with the ability to clearly present technical concepts and project updates to both technical and non-technical stakeholders.
• Team-oriented professional with the ability to work effectively across diverse teams.
• Client-focused approach with a commitment to delivering high-quality solutions.
• High level of motivation accountability and professional integrity.

Additional Information :

Hybrid position - Lisbon.

Remote Work :

No

Employment Type :

Full-time