Senior AI Software Engineer (Generative AI)

Location: Porto, Portugal

Company

hirify.global is hiring for a Framework and Research team that develops shared AI services and technical components for multiple product areas.

What you will do

• Translate business requirements into functional applications and AI/ML solutions.
• Design, fine-tune, evaluate, and deploy AI/ML models and LLM-based applications.
• Develop prompts, experiment with model parameters, and work with GPT, Transformers, Hugging Face, and related frameworks.
• Build proofs of concept, analyze datasets, and create AI pipelines covering preparation, execution, testing, and deployment.
• Integrate AI capabilities into business applications and shared technical services using cloud AI platforms such as AWS SageMaker, AWS Bedrock, or equivalent Azure services.
• Apply governance, guardrails, auditing, security, privacy, observability, documentation, code reviews, and continuous improvement practices while collaborating with product, engineering, and data stakeholders.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• At least 2 years of professional experience in Machine Learning, Generative AI, or Data Science.
• Strong Python development experience and good knowledge of software development, databases, and system design.
• Hands-on experience developing, fine-tuning, evaluating, and deploying AI/ML models.
• Experience with prompt engineering, LLM frameworks or tools, and GPT, Transformers, Hugging Face, or equivalent technologies.
• Experience with AWS AI services such as SageMaker or Bedrock, or equivalent Azure services.
• Experience building and integrating AI solutions into applications or technical platforms.
• Understanding of AI governance, guardrails, auditing, API security, and data privacy.
• Excellent problem-solving skills and experience working in Agile or Scrum environments.

Nice to have

• Experience building production-grade AI solutions and working with multiple model families, including non-LLM Machine Learning models.
• Exposure to MLOps, experiment tracking, model versioning, model monitoring, or AI governance frameworks.
• AWS or Microsoft Azure cloud or AI certifications.
• Experience with Docker, Kubernetes, DevOps, or CI/CD pipelines.
• Experience with C# and .NET/.NET Core, or Java and Spring Boot.
• Experience with Jupyter, Databricks, MLflow, or similar tools.
• Experience working with regulated, sensitive, or business-critical data.

Culture & Benefits

• Work within a Framework and Research team supporting several product areas.
• Collaborate with Product Owners, software engineers, data specialists, and other stakeholders.
• Contribute to technical standards, mentoring, knowledge sharing, and engineering documentation.