About the Role
We are seeking an AI Engineer to develop solutions based on Generative Artificial Intelligence, integrating Large Language Models, RAG architectures, and multi-agent systems in high-scale corporate environments.
Responsibilities
- Design, develop, and evolve generative AI solutions in production.
- Work with LLMs, RAG, AI agents, and multi-agent systems.
- Build pipelines and applications using Python, LangChain, and LangGraph.
- Integrate models and frameworks such as Transformers and LlamaIndex.
- Work on microservices architecture and messaging systems.
- Collaborate with multidisciplinary teams and provide technical leadership for AI initiatives.
Technical Requirements
- Solid experience in Software Engineering.
- Hands-on experience with Generative Artificial Intelligence, including LLMs, RAG, AI agents, and multi-agent systems.
- Proficiency in Python (mandatory requirement).
- Experience with LangChain and LangGraph.
- Solid knowledge of microservices architecture and messaging systems.
- Familiarity with frameworks and tools for developing with LLMs and SLMs, such as Transformers, LlamaIndex, and related tools.
- Experience with relational and non-relational databases.
- Knowledge of Docker and Kubernetes.
Soft Skills
- Ability to collaborate effectively with multidisciplinary teams.
- Excellent communication and interpersonal skills.
- Technical leadership profile, serving as a reference for the team.
- Strong analytical skills and ability to solve complex problems.
- Proactivity, autonomy, and results-oriented mindset.
Work Location
This is a hybrid role, with 3 on-site days per week at the Santander Interlagos office in São Paulo. The candidate must reside in São Paulo or the surrounding region.