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Pfizer

Staff Software Engineer – AI Backend Services

Pfizer

. Define technical strategy and architecture for Python-based AI backend platforms using FastAPI .

Posted 9/25/2026full-timeRemote • FranceLeadWebsite

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDockerKubernetesMicroservicesPython

About the role

Key responsibilities & impact
  • Define technical strategy and architecture for Python-based AI backend platforms using FastAPI
  • Architect scalable, reliable, and secure AWS systems using Lambda and EKS
  • Drive technical decisions affecting organization-wide engineering practices and platform capabilities
  • Design and champion AI system observability using LangChain, Langfuse, and litellm
  • Establish standards for monitoring, logging, observability, and operational excellence
  • Lead initiatives to optimize performance, security, and scalability of large-scale AI applications
  • Mentor and technically guide engineers through code reviews, architecture reviews, and technical leadership
  • Identify technical debt, performance bottlenecks, and architectural limitations and drive long-term solutions
  • Collaborate with engineering leadership, product, and stakeholders to align technical strategy with business objectives
  • Influence technology choices, design patterns, and best practices across the AI Software & Operations department
  • Represent the team in organization-wide technical discussions and drive adoption of innovative solutions

Requirements

What you’ll need
  • 7+ years of professional software engineering experience with extensive backend and distributed systems expertise
  • Expert-level proficiency in Python for large-scale production systems
  • Comprehensive understanding of LLMs, generative AI architectures, and AI infrastructure, including LangChain, litellm, Langfuse, and OpenAI/Anthropic APIs
  • Experience architecting and delivering complex, scalable platforms on AWS
  • Expert knowledge of microservices architecture, distributed systems design, and event-driven architectures
  • Experience with Docker, Kubernetes, containerization, orchestration, and cloud-native patterns
  • Strong history of technical leadership, mentoring engineers, and driving organizational impact
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience
  • Excellent strategic thinking and ability to balance short-term delivery with long-term architectural vision

Benefits

Comp & perks
  • Equal opportunity employer
  • Reasonable adjustments to support candidates and their future careers
  • Accessible careers website and application/interview assistance for accessibility requests