Engenheiro AI

This position is posted by Jobgether on behalf of a partner company.

We are currently looking for a Engenheiro AI in Brazil.

This role sits at the intersection of artificial intelligence engineering, solution architecture, and business collaboration, with a strong focus on building scalable and production-ready AI systems.

You will be responsible for designing, developing, and deploying machine learning solutions that directly support business needs and client-facing initiatives.

The position requires close collaboration with solution architects, product teams, and commercial stakeholders to translate complex requirements into robust AI pipelines.

You will contribute both to technical execution and early-stage solution design, helping shape proposals and prototypes during client engagement phases.

The environment is highly dynamic, innovation-driven, and cloud-native, with strong emphasis on scalability, MLOps practices, and real-world impact.

This is a strategic technical role with exposure to both engineering depth and business interaction.

AccountabilitiesCollaborate with solution architects to translate business requirements into scalable machine learning and AI pipelines.

Develop, train, and deploy machine learning and deep learning models, ensuring performance, reliability, and scalability in production environments.

Build and maintain end-to-end data pipelines, including data ingestion, processing, model training, validation, and deployment workflows.

Integrate AI solutions into production systems following MLOps best practices, including monitoring, automation, and lifecycle management.

Work closely with product and commercial teams to prototype solutions, validate proposals, and support client-facing technical discussions.

Evaluate technical risks such as performance, scalability, and security, contributing to mitigation strategies and architectural decisions.

Ensure efficient use of cloud platforms (AWS, Azure, or GCP) for development, deployment, and optimization of AI systems.

Contribute to technical documentation, standards, and best practices in collaboration with architecture and engineering teams.

RequirementsStrong experience in developing and deploying Machine Learning and Deep Learning models in production environments.

Advanced programming skills in Python, with experience in frameworks such as TensorFlow, PyTorch, Scikit-learn, and Pandas.

Solid experience with MLOps tools and CI/CD pipelines (e.g., MLflow, Kubeflow, Jenkins, GitLab CI).

Experience working with SQL and NoSQL databases, including query optimization and data modeling.

Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).

Knowledge of system architecture, API integration (REST/GraphQL), and data pipeline design.

Ability to work in cross-functional environments involving engineering, product, and business stakeholders.

BenefitsCompetitive compensation aligned with market standards.

Remote-first or flexible work model depending on project and client needs.

Health and wellness benefits package.

Meal or food allowance support.

Continuous learning and development opportunities, including courses and certifications.

Access to cloud, AI, and modern engineering tools for professional growth.

Participation in innovative, large-scale AI and digital transformation projects.

Collaborative and innovation-driven work environment with exposure to global clients.

Career growth opportunities in AI engineering and solution architecture tracks.

How Jobgether WorksWe 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.