Ai/Ml Research Engineer

Jobgether SRL; Brasil; Presencial; BRL 250 000 - 420 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work environment

Learning opportunities

Collaborative culture

LLM providers exposure

AI research opportunities

Resumo da oferta

Jobgether is seeking an AI/ML Research Engineer based in Brazil to bridge research and production. You will design agentic AI systems and deploy LLM-powered applications across enterprise data environments, focusing on scalability and reliability.

You will work with Python, SQL, and cloud platforms, evaluate models from major providers, and collaborate with cross-functional teams to deliver robust AI solutions for enterprise workflows.

Qualificações

• Bachelor's degree or equivalent practical experience in a relevant field.
• Strong hands-on experience in Python and prompt engineering for LLMs.
• Proven experience building agentic AI systems or AI assistant-style applications.
• Solid understanding of NLP and deploying scalable ML models.
• Strong SQL expertise with enterprise databases like SAP HANA, DB2, SQL Server.

Responsabilidades

• Design, develop, and deploy agentic AI systems and LLM-based applications with a focus on scalability, performance, and reliability.
• Build and optimize AI/ML models using Python, including prompt engineering and integration with modern LLM frameworks.
• Develop AI assistant-style and agent-based applications that automate complex workflows and decision-making processes.
• Work with large-scale enterprise data systems and databases such as SAP HANA, DB2, and SQL Server, leveraging advanced SQL for data processing and analysis.
• Evaluate and select appropriate AI models (e.g., OpenAI, Meta, or others) based on use case requirements and performance trade-offs.
• Collaborate with cross-functional teams to design architecture, integrate models, and deploy solutions in cloud environments.

Conhecimentos

Python

Prompt engineering

LLMs

Agentic AI systems

NLP

SQL

Cloud platforms

Formação académica

Bachelor's degree in Computer Science, Data Science, Systems Engineering or equivalent

Ferramentas

SAP HANA

DB2

SQL Server

OpenAI

Meta AI

Descrição da oferta de emprego

AI/ML Research Engineer

Empresa: Jobgether

Tipo de Emprego: Periodo Integral

Localização: Brazil

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Research Engineer based in Brazil.

This role sits at the intersection of applied research and production-grade AI engineering, focusing on the design and deployment of advanced agentic AI systems and LLM-powered applications. You will contribute to building intelligent, scalable solutions that transform enterprise data into actionable insights and autonomous workflows. Working in a fast-paced, collaborative environment, you will experiment with cutting-edge AI frameworks, evaluate model performance across providers, and help shape next-generation AI assistant products. The role blends research thinking with hands-on engineering, requiring strong execution skills and curiosity for emerging AI paradigms. You will also work with complex enterprise-scale data systems and cloud environments to ensure robust, production-ready AI solutions.

Accountabilities:

• Design, develop, and deploy agentic AI systems and LLM-based applications with a focus on scalability, performance, and reliability.
• Build and optimize AI/ML models using Python, including prompt engineering and integration with modern LLM frameworks.
• Develop AI assistant-style and agent-based applications that automate complex workflows and decision-making processes.
• Work with large-scale enterprise data systems and databases such as SAP HANA, DB2, and SQL Server, leveraging advanced SQL for data processing and analysis.
• Evaluate and select appropriate AI models (e.g., OpenAI, Meta, or others) based on use case requirements and performance trade-offs.
• Collaborate with cross-functional teams to design architecture, integrate models, and deploy solutions in cloud environments.
• Support the development and scaling of AI solutions in enterprise-grade environments, ensuring robustness and maintainability.

Requirements:

• Bachelor’s degree in Computer Science, Data Science, Systems Engineering, or a related field, or equivalent practical experience.
• Strong hands-on experience in Python and prompt engineering for large language models (LLMs).
• Proven experience building agentic AI systems or AI assistant-style applications.
• Solid understanding of Natural Language Processing (NLP) and deploying scalable machine learning models.
• Strong SQL expertise and experience working with enterprise databases such as SAP HANA, DB2, and SQL Server.
• Experience working in large-scale enterprise data environments or comparable systems.
• Familiarity with cloud AI/ML platforms and relevant certifications (e.g., Azure AI Engineer, AWS ML) is highly desirable.
• Experience with Model Context Protocol (MCP), predictive modeling, or Node.js is a plus.
• Strong problem-solving mindset with the ability to work in fast-paced, collaborative environments.
• Ability to evaluate trade-offs between different AI models and architectures based on business and technical needs.

Benefits:

• Opportunity to work on cutting-edge AI research and agentic AI systems.
• Exposure to large-scale enterprise data environments and advanced AI infrastructure.
• Collaborative, innovation-driven engineering culture.
• Hands-on experience with leading LLM providers and emerging AI frameworks.
• Strong opportunities for learning, experimentation, and professional growth.
• Flexible and dynamic work environment focused on impact and innovation.

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.