Full Stack AI Engineer
Core
Design, build, and operate AI-native products and platforms for Global Development Operations, embedding large language models and agentic workflows into clinical and operational workflows.
Role type
Manager, Full Stack AI Engineer
Builds
AI-native applications, bespoke solutions, and AI-enabled SaaS for Global Development Operations
Domain
Life Sciences / Pharma / Generative AI
Deliverable
production ML models | product features
Required skills
Generative AI and Agentic AI application development, Python, React, REST APIs, microservices architecture, CI/CD implementation, model performance monitoring and drift management, SQL/NoSQL data analytics, AWS cloud services, TensorFlow or PyTorch
Preferred skills
Java or TypeScript, Salesforce platform experience, Pharma/Life Sciences domain experience
Technologies
Python, React, Java, TypeScript, Node JS, Salesforce, OpenAI, AWS Bedrock, LangChain, LlamaIndex, Google ADK, FastAPI, TensorFlow, PyTorch, AWS Lambda, S3, DynamoDB, SageMaker
Responsibilities
Design and develop secure, scalable applications using microservices and event-driven processes; Partner with stakeholders to identify AI opportunities for decision-making augmentation and automation; Monitor model performance in production and manage retraining strategies; Implement CI/CD practices for software applications; Ensure compliance with data governance, privacy, and security standards.
Seniority
Manager, hands-on IC with leadership responsibilities
