Software GenAI Engineer

Equação IT is a company focused on boosting technology and solid solutions through our expert consultants leading a high perspective and adding value to our customers with the purpose of providing optimization and business growth to our partners.

We are looking for a Software GenAI Engineer with the following requirements:

With this role, you'll lead the creation of transformative tools and patterns, enabling cutting-edge ML/AI technologies. Our work empowers teams to innovate and build scalable machine learning platforms, shaping the company's future. You'll drive technical vision, foster engineering excellence, and help create a modern digital ecosystem using advanced technologies.

• Years of experience: 5+
• Language: English C1

Your skills and experience
• Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments.
• Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture.
• Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments.
• Proven track record designing and operationalised end-to-end MLOps pipelines with tools such as MLflow, SageMaker Pipelines, or equivalent frameworks.
• Extensive experience building and operating containerised applications using Docker and Kubernetes, including production-grade orchestration and monitoring.
• Deep experience with CI/CD best practices with hands-on expertise in GitHub Actions, Jenkins, and GitOps workflows.
• Strong knowledge of advanced DevOps concepts, including progressive delivery strategies (blue/green, canary), resilience engineering, and performance optimisation.
• Deep understanding of cloud security, governance, and compliance, with the ability to define and implement scalable security frameworks.
• Proven ability to drive cross-functional technical initiatives, influence without authority, and deliver results through collaboration and alignment.
• In-dept understanding of the ML lifecycle, with practical experience deploying and managing LLMs and generative AI models in production."

Your key responsibilities and impact
• Lead the design, development, and evolution of robust tooling and platforms to support scalable Data Science, MLOps, and LLMOps workflows across the organisation.
• Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services.
• Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments.
• Design and support CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance.
• Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health.
• Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance practices.
• Support architectural decisions for scalable and maintainable systems, collaborating with engineering and product stakeholders to align with business and technical goals.
• Partner with architects, product leaders, and stakeholders to shape the long-term technical vision and system architecture
• Apply and advocate for security best practices across the software development lifecycle using AWS-native tools and DevSecOps principles.
• Cultivate a high-performing engineering culture through mentorship, knowledge sharing, and thought leadership via deep dives, brown bags, internal tech talks, and cross-team collaboration.

• Duration: Long Term Contract.
• Location: Remote, candidates must be living in Portugal.