Senior Specialist, Full Stack Developer, Clinical Engineering & Operations

Position Summary

• Full Stack Developer for an AI-first, agile product team supporting Global Development Operations (GDO).
• Develop and operate AI-native products where large language models, agentic workflows, and data-driven intelligence are the default approach (not an add-on).

• Develop and maintain LLM-native and agentic applications as long-lived products, including human-in-the-loop patterns, continuous learning, monitoring, and governance. Frameworks:
  OpenAI, AWS Bedrock, Lang Chain.
• Develop and maintain scalable, stable, reliable, secure applications using Python/Java and modern frontend frameworks like React JS (vibe coding best practices).
• Implement microservices-based solutions on AWS.
• Incorporate microservices, APIs, MCPs, and event-driven processes.
• Implement CI/CD practices.
• Monitor model performance in production; manage model drift, retraining, and rollback strategies.
• Investigate issues with systems and data; provide short-term remediation and long-term strategy.

• Minimum 2 years of related software development experience;
  Pharma/Life Sciences experience is a plus.
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Strong proficiency in Python and/or Java and a UI framework (preferably React JS).
• Solid understanding of AI concepts; familiarity developing AI applications.
• Practical Generative AI/Agentic AI experience (Lang Chain) is a plus.
• AWS Cloud services experience (Lambda, S3, Dynamo
  
  DB, Bedrock, Sage Maker) is a plus.
• Data analytics skills: SQL/No
  
  SQL databases; ability to write efficient queries.
• Commitment to continuous learning and staying abreast of emerging technologies.
• Excellent problem-solving and analytical skills.
• Relationship builder; effective communication, planning, and collaboration in a highly matrix organization.

• Princeton, NJ: $78,200–$94,760.
• Health coverage; wellbeing support; 401(k) and financial protection benefits; paid time off (details as listed).

• If interested but not a perfect resume match, apply anyway.