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CV
Hybrid AI Engineering Consultant
Posted last month
About the role
- Consultant in IA Engineering integrating the Votorantim Excellence Center to work on Analytics solutions. Developing AI solutions and Machine Learning models in a hybrid work setting.
Responsibilities
- Develop and evolve the agentic pipeline for coordinated execution of multiple AI agents.
- Implement interaction flows between agents (planning, execution, validation, information retrieval).
- Integrate generative AI models and LLMs with enterprise systems via APIs and microservices.
- Implement state, memory, context and persistence mechanisms for agents.
- Ensure quality, performance, observability and reliability of solutions.
- Contribute to architecture definitions, technical standards and Center of Excellence (CoE) best practices.
- Participate in code reviews and provide technical support to other engineers.
- Evaluate and adopt new approaches, frameworks and tools for Agentic AI.
Requirements
- Software engineering (Python preferred).
- Generative AI and LLMs in production environments.
- Microservices architectures and integration via APIs.
- Intelligent workflows, autonomous systems or process orchestration.
- RAG (Retrieval-Augmented Generation), prompt engineering and context management.
- Cloud (Azure preferred) and containers (Docker).
- Bachelor's degree required.
Benefits
- We believe talented professionals are found everywhere, and therefore our vacancies are open to everyone, regardless of race, age, gender, sexual orientation, gender identity and/or disabilities.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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