Full-Stack Software Engineer (AI / ML Exposure)
Full-Stack Software Engineer (AI / ML Exposure)
Employment type
Full Time
Location
Hybrid
Role Overview:
Full-Stack Software Engineers build end-to-end user-facing and backend systems that support modern, AI-enabled products. This role focuses on delivering scalable web applications while integrating AI/ML capabilities into production systems.
Key Responsibilities:
- Design, build, and maintain full-stack applications serving large-scale users
- Develop frontend experiences and backend APIs that integrate with AI/ML services
- Collaborate with ML engineers and data scientists to embed AI features into products
- Build and maintain scalable, secure, and performant systems
- Participate in system design, code reviews, and architectural discussions
- Debug production issues and improve reliability and observability
- Contribute to CI/CD pipelines and automated testing frameworks
Required Qualifications:
- Bachelor's or Master's degree in Computer Science or related field
- 3-6+ years of professional software engineering experience
- Strong experience building full-stack web applications
- Proficiency in at least one frontend and one backend framework
- Experience integrating APIs and third-party services
- Solid understanding of data structures, algorithms, and system design
Preferred Qualifications:
- Experience working with AI-powered features (e.g., search, recommendations, chat)
- Familiarity with ML inference APIs or model-serving systems
- Experience building distributed or cloud-native systems
- Understanding of security, performance optimization, and scalability
- Frontend: React, Angular, Vue
- APIs: REST, GraphQL
- Flexible Working Style
- Diversity and Inclusion
- Learn And Grow
- Balanced Working Life
- Health Insurance
Testlify is deeply committed to creating a workplace and global community where inclusion is not only valued but prioritized. We’re proud to be an equal-opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or any other non-merit-based or legally protected grounds.