Senior Software Engineer (AI/ML)

TL;DR

Senior Software Engineer (AI/ML): Developing advanced digital identity and document verification solutions with an accent on backend architecture, AI/ML model integration, and scalable secure systems. Focus on building high-performance services that handle document capture, analysis, and fraud detection across web and mobile platforms.

Location: Must be based in Portugal (Lisbon) or open to hybrid/remote work within Portugal.

Company

hirify.global is a global leader in identity-centric security solutions, providing cutting-edge technologies to protect identities, payments, and data in over 150 countries.

What you will do

• Design and implement robust backend architectural solutions for identity verification.
• Develop and optimize Python-based AI/ML systems for document processing and fraud detection.
• Integrate backend services with React web applications, Swift iOS SDKs, and Kotlin Android SDKs.
• Ensure platform adherence to global security standards like GDPR, ISO, and ETSI.
• Mentor junior engineers and lead complex technical design discussions.
• Apply software security best practices including secure SDLC and cryptographic implementation.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 5+ years of professional software development experience.
• At least 2+ years in a senior engineering role.
• Strong proficiency in Python and experience with React, Swift, or Kotlin.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
• Understanding of modern AI/ML frameworks like TensorFlow or PyTorch.

Nice to have

• Advanced degree in Computer Science, Machine Learning, or Computer Vision.
• Expertise in SaaS development at scale and high-performance computing.
• Familiarity with Ruby on Rails or infrastructure-as-code tools like Terraform.
• Deep knowledge of document security standards, NFC technologies, and mobile app security.

Culture & Benefits

• Flexible work options including remote and hybrid arrangements.
• Strong focus on continuous learning and professional career development.
• Collaborative international environment valuing diversity and inclusion.
• Opportunities to shape the future of global digital identity technology.