TL;DR

Backend Engineer (AI): Building and scaling backend systems for AI/ML applications within the healthcare domain, focusing on integrating cutting-edge AI research into market-ready products. Focus on optimizing APIs, database schemas, and data processing workflows to enhance the overall system performance and user experience.

Location: Candidates must possess a valid EU visa and be based in Portugal

Salary: €36,048 - €52,428 a year

Company

%hirify_global% is reimagining healthcare by combining cutting-edge AI/ML technology with personalized care to free two billion people from pain.

What you will do

Architect, design, and build backend systems, transforming internal AI technology into a scalable, market-ready product.
Design and optimize APIs, database schemas, and data processing workflows, integrating with AI/ML pipelines.
Collaborate with Product, Data, and Engineering teams to define technical requirements and deliver features that enhance user experience and system performance.
Identify performance bottlenecks and scale systems as 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 high code quality and testing standards.

Requirements

3+ years of professional experience in backend engineering, with a focus on building scalable systems and services.
Proficiency in Python as the primary language for ML-powered systems, with hands-on experience in Python-based frameworks and libraries.
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 work in a fast-paced, agile environment while handling multiple technical priorities and collaborating effectively across teams.

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).
Familiarity with event-driven architectures and messaging systems (e.g. GCP Pubsub, Kafka, RabbitMQ).

Culture & Benefits

Stimulating, fast-paced environment with room for creativity and ownership.
Career development and growth, with a competitive salary.
Flexible environment where you can control your hours (remotely) with unlimited vacation.
Access to our health and well-being program (digital therapist sessions).
Remote or Hybrid work policy.