Job Description

Alongside partners with organizations to drive digital transformation and build high-performing tech teams.

We are looking for an experienced AI Engineer / GenAI Integration Engineer with a strong background in software development, systems integration, and AI technologies to join our client, a leading international company operating in sectors such as automotive and agricultural machinery.

Key Responsibilities

• Develop and implement solutions based on Generative AI and Large Language Models (LLMs).
• Design and develop backend applications and services using Python.
• Build and integrate REST APIs to enable communication between different systems and applications.
• Implement Retrieval-Augmented Generation (RAG) solutions, embeddings, and vector databases.
• Develop and integrate AI Agents and intelligent automation solutions.
• Collaborate with technical and business teams to identify requirements and implement solutions.
• Contribute to the integration of AI solutions into enterprise platforms and CRM systems.
• Support the optimization and automation of business processes through Artificial Intelligence technologies.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Professional experience in software development, preferably backend development.
• Strong experience with Python and REST API development/integration.
• Hands-on experience with LLMs and Generative AI, using technologies such as OpenAI, Azure OpenAI, Anthropic, or equivalent.
• Practical experience developing RAG solutions and AI Agents.
• Knowledge of embeddings, vector databases, and Prompt Engineering.
• Previous experience with SAP Cloud for Customer (C4C) (big plus)
• Experience integrating different systems, applications, and services.
• Strong analytical and problem-solving skills, with the ability to work independently.
• Good communication and teamwork skills.
• Ability to quickly learn and adapt to new technologies and business environments.
• Nice to Have

Benefits

• Technical guidance and continuous mentorship
• Participation in real-world projects
• Collaborative environment with a focus on professional growth
• Opportunity for career progression
• Hybrid work model: Porto office (3 days per week working from home)