Software Engineer
- תל אביב
- משרה קבועה
- משרה מלאה
- Design, implement, and maintain backend services for data processing, model inference, and API delivery
- Build and optimize data ingestion and transformation pipelines for structured and unstructured clinical data
- Collaborate with the AI/ML team to integrate Bayesian networks, ML models, causal inference, and Agentic AI pipelines into production
- Develop intuitive, interactive user interfaces - including chat-based exploration tools - for model explainability and healthcare decision support
- Ensure system scalability, reliability, and security, adhering to healthcare compliance requirements (e.g., HIPAA, GDPR)
- Participate in architectural decisions, code reviews, and continuous delivery improvements
- Work in a fast-moving startup environment where priorities shift and your contributions have immediate impact
- Startup mindset - adaptable, resourceful, collaborative, and hands-on
- 3+ years of experience in software engineering (startup or high-growth environment preferred)
- Proven expertise in Python, with strong coding skills in object-oriented design, modular architecture, and clean, maintainable code practices.
- Experience with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes)
- Solid understanding of RESTful APIs, data modeling, and relational/non-relational databases
- Comfort working with data-heavy applications, preferably in healthcare or other regulated industries
- Experience with ML/AI integration (pgmpy, scikit-learn, PyTorch, LangChain, or similar) is a strong plus
- Knowledge of data visualization libraries (e.g., Pyvis, D3.js, Plotly) and conversational interfaces is a plus.
Mploy