Full Stack AI Engineer, Clinical Engineering & Operations

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.

• Design and maintain LLM-native/agentic systems as long-lived products (human-in-the-loop, continuous learning, monitoring, governance) using Claude, OpenAI, AWS Bedrock, Lang Chain.
• 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.

• 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 (Lang Chain, Llama Index, Google ADK, etc.).
• Python + React;
  Java or Type Script familiarity.
• REST APIs, MCPs, FastAPI; JSON/XML;
  Tensor Flow/PyTorch knowledge.
• AWS (Lambda, S3, DynamoDB, Bedrock, Sage Maker).
• SQL/No
  
  SQL analytics; efficient query writing.
• Problem-solving, analytical, leadership; strong communication in matrix orgs.

• $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).