Generative AI Engineer

About the Role

We are seeking a Generative AI Engineer with strong Software Engineering expertise to join our technology team. The role requires advanced proficiency in Python and hands-on experience with LLMs, RAG, agents, and multi-agent systems.

The professional will be responsible for designing, building, and evolving solutions based on generative artificial intelligence, working with modern microservices architectures and collaborating closely with various teams.

Key Responsibilities

• Develop and maintain software systems focused on Generative AI.
• Implement solutions using LLMs, RAG, autonomous agents, and multi-agent systems.
• Design scalable and resilient microservices architectures.
• Integrate language models using frameworks such as LangGraph and LangChain.
• Work with relational and non-relational databases.
• Containerize and orchestrate applications using Docker and Kubernetes.
• Provide technical leadership for initiatives and solve complex engineering problems.

Technical Requirements

• Advanced proficiency in Python.
• Hands-on experience with Generative AI, including LLMs, RAG, agents, and multi-agent systems.
• Experience with LangGraph and LangChain.
• Solid knowledge of microservices architecture and messaging.
• Familiarity with LLM/SLM frameworks and tools, such as Transformers and LlamaIndex.
• Experience with relational and non-relational databases.
• Knowledge of Docker and Kubernetes.

Differentiators

• Proven technical leadership.
• Excellent communication skills and the ability to collaborate with multiple teams.
• Demonstrated ability to solve complex problems.

Expected Profile

We are looking for someone with a collaborative and communicative profile, possessing technical leadership capabilities. The ability to solve complex problems and work in an integrated manner with different teams is essential for success in this position.