Backend & AI Engineer

Digital Product Development & Artificial Intelligence Engineer (Backend & AI)

About the Position

At PharmaSoft, we are looking for a team member who will help elevate our global pharmacovigilance and regulatory SaaS products to the next level. We seek someone strong in artificial intelligence, backend development, and system integration, who will actively contribute to technical production.

This role includes both hands-on coding and technical leadership to guide other team members. The primary responsibility is to integrate AI and automation components into our existing product ecosystem, strengthen backend architecture, and build scalable systems.

Responsibilities

• Design and develop the integration of AI and automation components into existing products.
• Strengthen backend architecture, develop new modules, and optimize current systems.
• Build and improve integrations and API structures between various SaaS applications.
• Manage data processing, model training, and model deployment processes.
• Collaborate with the technical team and guide development processes (hands-on and production-oriented).
• Make architectural decisions aligned with security, performance, and sustainability requirements.
• Follow emerging technologies and provide recommendations that contribute to the product ecosystem.

Required Qualifications

• Minimum 4+ years of professional backend development experience.
• Hands-on experience with AI, machine learning, NLP, or deep learning projects (implementation/integration).
• Strong practical knowledge in backend development with Python or Node.js.
• Experience with REST API / GraphQL / microservices architectures.
• Knowledge of model deployment and serverless structures on cloud platforms (AWS, GCP, or Azure).
• Ability to mentor and technically guide team members (not full management—technical leadership/mentorship).
• Experience in health, pharma, or other regulated industries is a plus.

Why This Role Is Unique

• You will join a team developing Turkey’s leading AI-powered regulatory technology SaaS products.
• A hybrid position where you will take an active part in production while also providing technical leadership.
• Not a traditional “manager” role—this is a blend of deep technical expertise and hands-on leadership.
• The systems you build will impact critical infrastructure used on a global scale.

Experience

• 4+ years of backend development
• 1–2 years of AI integration, model development, or ML operations experience
• 1+ year of technical mentorship or team coordination experience (not necessarily a management role)