GenAI and Agentic AI Engineer
Salário Estimado
R$ 16.445,00 - R$ 24.668,00
Excelente
Score da Vaga
Descrição da Vaga
the position This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion). \n\nThe GenAI and Agentic AI Engineer is responsible for designing, developing, optimizing, and testing generative AI and agentic AI solutions to enable the production of accurate, relevant, and high-quality outputs across various business applications.
The ideal candidate will have a strong background in AI, natural language processing, and RPA. and deep expertise in Large Language Models, RAG, prompt engineering, and Robotic Process Automation.\n\nThe GenAI and Agentic AI Engineer will partner with stakeholders to drive business value to Arbitration Forums and our members through GenAI and Agentic AI solutions.
This role excels at the implementation of the agentic AI development process, employing AI techniques to guide and enhance solutions, developing effective AI interactions and automations through proficient programming and testing.
Responsibilities • Prompt Design and Optimization:
Requirements • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Linguistics, or a related field.
Deep understanding of containerization technologies like Docker and orchestration tools like Kubernetes for scaling AI solutions. • Experience combining design patterns like Tool Use, Reflection, and Planning for robust and solid automation.
Ability to design, train, and optimize these models to generate high-quality, creative content. • Experience in Natural language processing (NLP) for text generation projects.
Working knowledge of techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. • Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data, including the cleaning, labeling, and augmenting of data to train and improve AI models.
Nice-to-haves • Auto Insurance claims industry experience preferred.
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