27 set - Rovigo
Pfizer
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)
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presta&camelia