Staff Software Engineer responsible for developing reusable AI components at Pfizer. Collaborating with teams to enhance drug discovery and development processes in the biopharmaceutical industry.
Responsibilities
Design, develop, and maintain high-quality reusable AI components, SDKs, APIs, and templates
Implement and optimize shared libraries and toolkits
Contribute to the architecture and implementation of solutions and services
Ensure proper versioning, documentation, and maintainability of shared assets
Create and maintain comprehensive technical documentation, API references, and implementation guides
Develop sample applications, tutorials, and best practice examples
Build developer tooling and automation that streamlines integration
Work closely with cross-functional teams to understand requirements
Collaborate with senior engineers and architects
Requirements
7+ years in Software Engineering roles
Advanced degree in Computer Science or Engineering
Experience building RESTful APIs, microservices, and distributed systems components
Understanding of AI/ML engineering principles, model deployment, and MLOps practices
Knowledge of software engineering best practices including testing, version control, and CI/CD processes
Understanding of SDK design principles and API development best practices
Knowledge of software architecture patterns and system design considerations
Experience with monitoring, logging, and observability tools for distributed systems
Ability to document technical concepts clearly and create developer-friendly resources
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