Staff Software Engineer (AI Backend Services)

Overview

As AI Backend Python Engineer (Staff), you define and lead the architecture for scalable backend platforms powering generative AI and LLM integrations. You’ll shape platform-level solutions on Python, FastAPI, and AWS, influencing engineering practices across Pfizer's AI Software & Operations group. You’ll tackle observability, security, and performance at scale, working with cross-functional teams to align technical strategy with business goals. This role offers the opportunity to drive lasting impact on AI infrastructure and engineering culture, at a global pharmaceutical leader.

Retribuzione / Benefits remote work

Responsabilità Define technical strategy and architecture for Python-based AI backends with LLM integration

Architect scalable, secure AWS-based systems (Lambda, EKS) for multiple teams

Drive organization-wide engineering practice decisions and platform capabilities

Champion AI observability using LangChain, Langfuse, and litellm

Establish monitoring, logging, and operational excellence standards

Lead cross-functional initiatives to improve performance, security, and scalability

Mentor engineers through reviews and technical leadership

Identify and address technical debt, bottlenecks, and architectural gaps

Collaborate with leadership, product, and stakeholders to align strategy with business objectives

Influence technology choices and best practices across the AI Software & Operations department

Represent the team in organization-wide technical discussions and drive adoption of innovative solutions

Requisiti fondamentali 7+ years of backend and distributed systems experience

Expert-level Python for large-scale production systems

Deep understanding of LLMs, generative AI architectures, and AI infrastructure (LangChain, litellm, Langfuse, OpenAI/Anthropic APIs)

Proven track record delivering complex, scalable platforms on AWS

Expert knowledge of microservices, distributed systems, and event-driven architectures

Experience with containers and orchestration (Docker/Kubernetes) and cloud-native patterns

Strong history of technical leadership and mentoring

Degree in Computer Science, Engineering, or related field, or equivalent experience

Strategic thinking with balance of short-term delivery and long-term architecture

strong communication

influence and collaboration

mentoring

FastAPI

asynchronous Python

AWS (Lambda, EKS)