Senior Backend Engineer (Greek Speaking)

TL;DR

Senior Backend Engineer (AI): Building and scaling backend systems that transform internal AI technology into a market-ready product with an accent on reliability, performance, and usability. Focus on integrating with external systems, optimizing APIs, and ensuring efficient deployment of machine learning models at scale.

Location: Must be able to communicate fluently and confidently in Greek, at a native level.

Company

hirify.global is combining AI/ML technology with personalized care to provide world-class clinical support at a scale never seen before.

What you will do

• Architect, design, and build backend systems that transform internal AI technology into a scalable, market-ready product.
• Design and optimize APIs, database schemas, and data processing workflows that seamlessly integrate with our AI/ML pipelines.
• Develop backend architectures that enable the efficient deployment of machine learning models in production.
• Identify performance bottlenecks and scale our systems as our user base and data complexity grow.
• Drive key technical decisions on infrastructure, tools, and best practices in a fast-moving, collaborative environment.
• Mentor junior engineers, promote best practices, and advocate for a high standard of code quality and testing.

Requirements

• 5+ years of professional experience in backend engineering, with a focus on building scalable systems and services.
• Proficiency in Python as the primary language for our ML-powered systems.
• Solid experience working with databases (SQL and NoSQL) and optimizing complex queries and transactions.
• Proven experience in building and maintaining high-performance APIs.
• Strong understanding of software design patterns, microservices architecture, and cloud-native applications.
• Ability to communicate fluently and confidently in Greek, at a native level.

Nice to have

• Experience working in a healthcare or health-tech domain.
• Familiarity with integrating AI/ML models into production systems.
• Experience with distributed systems and high-availability services.
• Strong proficiency in Python, including experience with Python-based frameworks and libraries used in production environments (e.g. FastAPI, Django, Flask).
• Exposure with cloud platforms like GCP, Azure or AWS, and familiarity with containerized (e.g. Docker, Kubernetes) architectures.

Culture & Benefits

• Commitment to a set of core values, chief amongst them to “do it for the patients” every day, and to always “deliver more than expected” on behalf of our members and clients.