The role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Solutions Specialist based in Brazil.
This role offers the opportunity to serve as a technical reference for Artificial Intelligence solutions, connecting innovation, software engineering, data, and cloud technologies.
You will transform business needs into practical AI solutions, from identifying use cases through prototyping and successful pilot delivery.
The position combines hands-on work with AI models, LLMs, prompt engineering, data pipelines, and enterprise integrations.
You will collaborate closely with business stakeholders, clients, and technical teams to design secure, reliable, and scalable solutions.
The role also places strong emphasis on cloud infrastructure, DevOps, MLOps, security, privacy, and responsible AI practices.
You will contribute to intelligent automation initiatives designed to improve processes and deliver measurable business outcomes.
This is an opportunity to work at the intersection of emerging AI technologies and complex enterprise environments.
Accountabilities
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Identify AI use cases, understand business needs, and translate requirements into practical and technically viable solutions.
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Develop, fine-tune, test, and implement AI models, including LLMs and SLMs using proprietary and open-source technologies.
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Design and optimize prompt-engineering strategies to improve the accuracy, consistency, reliability, and performance of AI applications.
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Rapidly prototype and iterate AI applications using Python and relevant frameworks.
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Integrate AI solutions securely with enterprise systems such as CRM, ERP, HRIS, financial platforms, and collaboration tools through APIs.
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Build, maintain, and optimize end-to-end data pipelines to provide accurate and timely data to AI models.
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Work with structured and unstructured data, vector databases, semantic search, and knowledge-management solutions.
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Deploy, manage, and scale AI workloads across cloud environments such as Azure, AWS, and GCP, balancing availability, performance, security, and cost efficiency.
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Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, version control, and model lifecycle management.
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Ensure AI solutions comply with applicable security, privacy, industry, and regulatory requirements, including frameworks such as GDPR and HIPAA where relevant.
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Identify and mitigate AI-related risks, including bias, ethical considerations, security concerns, and unintended consequences.
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Partner with business and functional teams to optimize processes through intelligent automation and deliver measurable business outcomes.
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Produce clear technical documentation, solution designs, project plans, and operational procedures.
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Contribute to the continuous improvement of internal AI methodologies, frameworks, and best practices.
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Stay current with advances in artificial intelligence and machine learning and assess emerging technologies for potential enterprise applications.
Requirements
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Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
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Intermediate to advanced English proficiency.
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Advanced knowledge of Artificial Intelligence, Natural Language Processing (NLP), and machine learning principles.
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Advanced experience selecting, fine-tuning, and implementing Large and Small Language Models (LLMs/SLMs), including GPT-family models and open-source alternatives.
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Strong, demonstrated experience with prompt engineering, prompt optimization, and improving AI model reliability and accuracy.
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Advanced Python programming skills for rapid prototyping, integration, and implementation of AI solutions.
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Strong knowledge of full-stack software development, including frontend/backend integration, user experience considerations, and system interoperability.
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Solid experience designing data pipelines and working with data engineering concepts and structured and unstructured datasets.
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Advanced proficiency with cloud computing platforms such as Azure, AWS, or GCP, particularly for deploying, scaling, and managing AI workloads.
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Advanced knowledge of security, compliance, and risk-management practices applicable to AI solutions.
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Strong understanding of AI ethics, bias mitigation, and responsible AI implementation.
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Strong communication and collaboration skills, with the ability to translate complex technical concepts into practical solutions for business stakeholders.
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Microsoft Certified: Azure AI Engineer Associate, Azure Data Engineer Associate, or Power Platform Fundamentals certifications are a plus.
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Additional certifications or training in Machine Learning, AI development, Data Analytics, or Cloud Computing are also valued.
Benefits
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Fully remote work.
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CLT employment contract.
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Company-provided work equipment.
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Transportation allowance.
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Meal and food allowance.
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Home-office allowance.
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Health and dental insurance for you and your family.
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Group life insurance.
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Annual Profit Sharing (PLR).
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Pharmacy benefit.
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TotalPass fitness benefit.
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Maternity package and extended paternity leave.
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Birthday day off.
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Opportunities to participate in social-impact initiatives.
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An inclusive and collaborative environment with opportunities for professional growth.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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