Neurons Lab02.03.26
AI SCORE 8.2

Part-Time Python Backend Developer - GenAI Healthcare SaaS

$60K–$80K/year

About the Role

Join Neurons Lab as a part-time Python Backend Developer to contribute to a cutting-edge healthcare SaaS platform. This role offers you the opportunity to work remotely while engaging in a GenAI-powered project that focuses on processing medical documents and delivering automated monitoring reports. As a Software Engineer, you will collaborate closely with an AI Architect to build production-ready systems that meet strict compliance and auditability requirements for healthcare clients. This part-time position allows for flexible hours within the EMEA timezone, making it an excellent fit for those looking to balance work and personal commitments.

What You'll Do

  • Implement robust REST APIs using FastAPI, ensuring proper authentication and error handling.
  • Work with graph databases, specifically Memgraph, to optimize data models and queries.
  • Integrate AI/GenAI pipelines for document processing and classification.
  • Maintain high code quality with a target of 70%+ test coverage.
  • Document APIs and maintain comprehensive technical documentation for all features.

Requirements

  • 4+ years of hands-on experience in Python backend development.
  • 2+ years of experience with FastAPI or similar async frameworks.
  • Strong understanding of RESTful API design and implementation.
  • Experience with PostgreSQL for relational data storage.
  • Familiarity with testing frameworks such as pytest.

Nice to Have

  • Experience with workflow orchestration tools like Airflow.
  • Knowledge of integrating LLM APIs for document processing.
  • Full-stack capability with React for occasional frontend contributions.

What We Offer

  • Flexible working hours within the EMEA timezone.
  • Opportunity to work on innovative projects in the healthcare sector.
  • Remote work environment with a supportive team.
  • Professional development opportunities and access to cutting-edge technologies.
  • Competitive salary and potential for growth within the company.
Why This Job8.2 of 10

This part-time role offers a unique opportunity to work on innovative healthcare projects using GenAI technology. Flexible hours and a competitive salary make it an attractive option for skilled developers.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and experienced with FastAPI and Pydantic for building scalable REST APIs, ensuring robust data validation and serialization.

Self-motivated and disciplined to thrive in a remote work environment, capable of managing time effectively while collaborating with team members across different time zones.

Hands-on experience with PostgreSQL for database management and Docker for containerization, demonstrating a strong understanding of deploying applications in a Linux environment.

Learning Resources

FastAPI Documentationguide

Career Path

Part-Time Python Backend Developer - GenAI Healthcare SaaS(Now)Full-Time Backend Developer(1-2 years)Senior Python Backend Engineer(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
12.5%
AI Adoption in Healthcare
45%
Investment in GenAI Solutions
+200%
Labour Demand for Python Developers
+30%
Avg Salary for Python Backend Developer
$110K

Skills & Requirements

Required
PythonFastAPIPydantic
Growing in Demand
Machine LearningData EngineeringCloud Computing
Declining
jQueryPHP

Domain Trends

Rise of GenAI in Healthcare
The integration of Generative AI in healthcare applications is expected to grow by 35% in the next two years as organizations seek to enhance patient care and operational efficiency.
Increased Adoption of Microservices
Healthcare SaaS platforms are increasingly adopting microservices architecture, with 50% of new applications being built using this approach to improve scalability and maintainability.
Focus on Data Privacy and Security
With 60% of healthcare organizations prioritizing data privacy, there is a growing demand for developers skilled in implementing secure APIs and data management practices.

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