Senior Platform Engineer – AI for Biopharma

Prudentia Sciences; Boston; Hybrid; PHP 9,404,000 - 14,420,000; Full time

Benefits offered by this job

Impact

Ownership

Growth

Competitive salary

Team

Job summary

Prudentia Sciences in the United States seeks a Senior Software Engineer to lead and build our core platform as a technical lead, guiding end-to-end development for deal management workflows.

You will own frontend and backend design, collaborate with ML engineers, product managers, and domain experts, and implement scalable, secure services on AWS. This role offers a remote-friendly hybrid setup with Boston-area office presence.

Qualifications

• Full-Stack experience building modern web applications
• Experience with APIs, asynchronous jobs, or ML backends
• Strong frontend with React/Next.js and robust backend with FastAPI/Node.js

Responsibilities

• End-to-End Platform Ownership: design, build and scale the web platform for deal teams.
• Frontend architecture & UX: create data-rich interfaces using React/Next.js.
• Workflow & orchestration: coordinate document ingestion, model execution and results delivery.
• Data visualization & insights: build interactive components for risk analyses and deal insights.
• API & integration engineering: maintain clean, scalable APIs between LLM orchestration and platform.
• Reliability & scalability: deploy and monitor services on AWS with high availability.
• Collaboration & product thinking: work with ML engineers, product leads and domain experts.
• Continuous improvement: automated testing, CI/CD, observability and modular architecture.

Skills

Full-Stack Engineering

React/Next.js

REST/GraphQL APIs

Cloud & DevOps

Data Visualization

Education

Bachelor’s/Master’s/PhD in CS/SE

Tools

FastAPI

Node.js

AWS

Docker

Kubernetes

Job description

Prudentia Sciences in the United States seeks a Senior Software Engineer to lead and build our core platform as a technical lead, guiding end-to-end development for deal management workflows.

You will own frontend and backend design, collaborate with ML engineers, product managers, and domain experts, and implement scalable, secure services on AWS. This role offers a remote-friendly hybrid setup with Boston-area office presence.