Specialist in Artificial Intelligence and Language Models for Evaluation and Integration of Advanced Solutions

February 3, 2026

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Full-time

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Job Description

Job Description
We are looking for a professional specialized in artificial intelligence to work on the evaluation and application of language models and artificial vision technologies.
The professional will participate in projects that transform business needs into innovative technical solutions, ensuring the quality and effectiveness of AI results.
Responsibilities:
Collaboration:
Work with product managers, data scientists, and architects to translate business needs into technical requirements for AI evaluation and application.
Indications and Application Engineering LLM:
Iteratively design, develop, and refine sophisticated prompts for language models.
Evaluation and governance of AI results:
Establish and execute comprehensive evaluation frameworks to measure the accuracy, reliability, and effectiveness of AI results.
Curation of data sets:
Take ownership of collecting, curating, and maintaining high-quality evaluation data sets.
Applied AI research and integration:
Actively explore, prototype, and conceptualize innovative ways to combine computer vision technologies with language models to gain deeper, more valuable insights from creative assets.
Documentation and knowledge sharing:
Document the AI evaluation process and results to track product quality and maintain user-facing product and API documentation.
Requirements:
High proficiency in Python.
Hands-on experience in rapid engineering for large language models.
Experience in designing and implementing assessment methodologies and quality frameworks for AI/ML model outputs.
Familiarity with modern AI and LLM frameworks.
Experience working with structured and unstructured data, particularly in a cloud environment.
Analytical and problem-solving skills, with a meticulous eye for detail.
Experience with APIs or computer vision models.
Experience in creating and implementing scalable API services.
Experience working in a product-driven environment, contributing to a strong MLOps cycle.
Experience implementing and optimizing data transformations and ETL/ELT processes.

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