Listing note. Listings come from public job feeds and can change or expire—check the original source and eligibility requirements before applying.

All listings

Technology

AI Engineer / GenAI Integration Engineer

Alongside

Workable
Location
Porto, Porto District, Portugal, Portugal
Type
Not specified
Salary
Salary not specified
Posted
6 Nov 2026
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, o
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 Experience with systems integration projects in enterprise environments. Experience with Cloud platforms, particularly Azure or AWS. Knowledge of microservices architectures and distributed systems. Experience with GenAI frameworks such as LangChain, LangGraph, or LlamaIndex. Knowledge of SAP C4C Experience with CRM platforms and related business processes. Previous involvement in enterprise process automation projects 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)