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Prudentia Sciences seeks a skilled full-stack engineer to design, build, and scale a data-intensive platform for drug asset analysis and valuation.
You will collaborate with ML engineers to weave LLM-driven insights into intuitive interfaces while maintaining robust cloud infrastructure and modern deployment practices.
Design, build, and scale a full-stack web platform for drug asset analysis and valuation. Collaborate with ML engineers to integrate LLM-driven insights into intuitive, data-rich user interfaces.
Requirements: Requires a degree in Computer Science or a related field with proven experience in modern full-stack development and cloud infrastructure. Candidates must be proficient in React/Next.js, backend frameworks like FastAPI/Node, and DevOps practices.
Key Skills: React, Next.js, FastAPI, Node.js, AWS, Postgres, MongoDB, DynamoDB, Docker, Kubernetes, Terraform, CI/CD, RESTful APIs, GraphQL, D3, Plotly