Generative AI engineer in LLM applications

Smart Consulting; Lisboa; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Smart Consulting is seeking a Generative AI engineer to build applications using large language models and RAG approaches. You will design AI-enabled services, integrate with APIs, and collaborate across data, software, and business teams to deliver scalable AI solutions.

The role emphasizes practical experience with Python, LLMs, and AI frameworks, with opportunities to work on cutting-edge AI challenges in a consulting setting.

Formación

• Degree in Computer Engineering, Data Science or similar.
• Around 4 years of professional software experience.
• Experience with Generative AI and LLMs.

Responsabilidades

• Develop apps based on Generative AI and LLMs.
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Develop APIs and services to integrate AI models.
• Implement prompt engineering and optimize model responses.
• Collaborate with data, software and business teams.

Conocimientos

Python

LLM development

APIs integration

Educación

Degree in Computer Engineering

Degree in Data Science

Herramientas

LangChain

LlamaIndex

Azure OpenAI

Docker

Kubernetes

Descripción del empleo

Generative AI engineer in LLM applications

Looking to take the next step in your career in IT and Telecommunications? Then you’ve come to the right place — Smart! Technology, transformation and innovation are part of our DNA. We are a technology consulting company with over 15 years of experience developing national and international solutions in IT and Telecommunications. We are looking for a GenAI Engineer to join a technology challenge where Generative Artificial Intelligence plays a central role in developing innovative solutions.

• Develop and implement applications based on Generative Artificial Intelligence and Large Language Models (LLMs).
• Design and integrate Retrieval-Augmented Generation (RAG) solutions using structured and unstructured data sources.
• Develop APIs and services to integrate AI models into existing applications and systems.
• Implement prompt engineering techniques and optimize the quality of model responses.
• Work with Data, Software Engineering and business teams to define and implement AI solutions.
• Evaluate the performance, quality and reliability of the applications developed.
• Contribute to the continuous improvement of solutions, considering scalability, security and efficiency.
• A degree in Computer Engineering, Data Science or similar fields.
• Around 4 years of professional experience in software development, preferably with Python.
• Practical experience developing Generative Artificial Intelligence solutions and integrating LLMs.
• Knowledge of RAG, embeddings and vector databases.
• Experience integrating APIs and AI services.
• Knowledge of Git, testing and software development best practices.
• Ability to work in a team and turn requirements into technical solutions.
• Будет плюсом: Experience with frameworks such as LangChain or LlamaIndex; Knowledge of Azure OpenAI, AWS Bedrock or other cloud AI services; Experience with Docker, Kubernetes and CI/CD; Knowledge of model evaluation, observability and optimization of AI applications; Experience with AI agents and using tools (tool calling)
• Joining a technology team focused on innovation.
• Opportunity to work with emerging Artificial Intelligence technologies.
• Close support and the opportunity for professional growth.
• Participation in technology challenges with a real impact on the business.