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.