Full Stack AI Engineer, Clinical Engineering & Operations

Scorpion Therapeutics; Princeton (NJ); On-site; USD 94,000 - 114,000; Full time

Benefits offered by this job

Health coverage

Wellbeing support

401(k)

Paid time off

Job summary

Scorpion Therapeutics is seeking a Manager, Full Stack Engineer to join an AI-first, agile product team supporting Global Development Operations. You will design, build, and operate AI-native products using LLMs, agentic workflows, and data-driven intelligence.

You will partner with product managers and GDO stakeholders to identify AI opportunities to augment decisions and automate clinical and operational workflows, while delivering secure, scalable apps with Python/React and cloud services.

Qualifications

• 5+ years software engineering experience; pharma/life sciences a plus.
• Proven production-grade Generative/Agentic AI delivery in regulated environments.
• Build Generative/Agentic apps (LangChain, LlamaIndex, Google ADK).
• Strong problem-solving, analytical skills, and communication in matrix orgs.

Responsibilities

• Design and maintain long-lived LLM-native/agentic systems with governance.
• Partner with PMs and GDO to identify AI opportunities in workflows.
• Design/develop/maintain secure, scalable apps using Python/Java/Node.js/React.
• Support and improve a portfolio of SaaS and in-house applications.
• Manage application support, incident resolution, and lifecycle across platforms.
• Build with microservices, APIs, MCPs, event-driven processes, middleware.
• Investigate system/data issues; deliver remediation and long-term strategy.
• Implement CI/CD.
• Monitor model performance; manage drift, retraining, rollback.
• Ensure compliance with data governance, privacy, and security.

Skills

Python

React

TypeScript

Java

REST APIs

AWS

Generative AI

Agentic AI

SQL/NoSQL

Leadership

Communication

Education

Bachelor's in CS/SE or related

Tools

LangChain

LlamaIndex

Google ADK

AWS Bedrock

SageMaker

FastAPI

Job description

Position Summary

Manager, Full Stack Engineer in an AI-first, agile product team supporting Global Development Operations (GDO). Accountable for designing, building, and operating AI-native products using large language models, agentic workflows, and data-driven intelligence.

Specific Responsibilities

• Design and maintain LLM-native/agentic systems as long-lived products (human-in-the-loop, continuous learning, monitoring, governance) using Claude, OpenAI, AWS Bedrock, LangChain.
• Partner with product managers and GDO stakeholders to identify AI opportunities to augment decisions and automate execution in clinical/operational workflows.
• Design/develop/maintain secure, scalable apps using Python/Java/Node JS/React JS.
• Support and continuously improve a portfolio of SaaS and in-house applications (availability, performance, stability).
• Manage application support, incident resolution, enhancements, and lifecycle across enterprise platforms.
• Build with microservices, APIs, MCPs, event-driven processes, and middleware.
• Investigate system/data issues; deliver short-term remediation and long-term strategy.
• Implement CI/CD.
• Monitor model performance; manage drift, retraining, and rollback.
• Ensure compliance with data governance, privacy, and security.

Requirements / Skills

• 5+ years software engineering (Pharma/Life Sciences a plus); Bachelor’s in CS/SE or related.
• SDLC in regulated environments; proven production-grade Generative/Agentic AI delivery.
• Build Generative/Agentic apps (LangChain, LlamaIndex, Google ADK, etc.).
• Python + React; Java or TypeScript familiarity.
• REST APIs, MCPs, FastAPI; JSON/XML; TensorFlow/PyTorch knowledge.
• AWS (Lambda, S3, DynamoDB, Bedrock, SageMaker).
• SQL/NoSQL analytics; efficient query writing.
• Problem-solving, analytical, leadership; strong communication in matrix orgs.

Compensation/Benefits (if applicable)

• $94,180–$114,124 (Princeton, NJ).
• Health coverage; wellbeing support; 401(k), disability, life/accident insurance, and related benefits.
• Paid time off and related leave programs (eligibility-based).