Vacancy Description
Job type: Full-time employment
Location: Hybrid (3 days on-site in our Budapest office) About the Role This is a full-stack role with a strong focus on AI/ML-enabled tooling for medical researchers, improvements to our Bayesian Network-based knowledge base, and regular product engineering work across the stack. Key Responsibilities Your tasks will be diverse, prioritized across the following domains:
System Optimization: Help improve our Bayesian Network-based knowledge base and related systems, with a focus on usability, quality, and scalability.
AI Integration: Work on practical LLM-based features and internal automations that support researcher and product workflows.
Feature Development: Build, maintain, and improve full-stack features in our core knowledge base app.
Cross-functional Collaboration: Work closely with product and medical research to turn domain problems into usable technical solutions.
Product Stewardship: Contribute to bug fixing, cleanup, and gener...
Location: Hybrid (3 days on-site in our Budapest office) About the Role This is a full-stack role with a strong focus on AI/ML-enabled tooling for medical researchers, improvements to our Bayesian Network-based knowledge base, and regular product engineering work across the stack. Key Responsibilities Your tasks will be diverse, prioritized across the following domains:
System Optimization: Help improve our Bayesian Network-based knowledge base and related systems, with a focus on usability, quality, and scalability.
AI Integration: Work on practical LLM-based features and internal automations that support researcher and product workflows.
Feature Development: Build, maintain, and improve full-stack features in our core knowledge base app.
Cross-functional Collaboration: Work closely with product and medical research to turn domain problems into usable technical solutions.
Product Stewardship: Contribute to bug fixing, cleanup, and gener...
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