Staff Software Engineer (AI Backend Services)

Pfizer; Paris; Hybride; EUR 110 000 - 160 000; Plein temps

Résumé du poste

Pfizer is seeking an AI Backend Python Engineer (Staff) to define architecture and technical strategy for backend systems powering generative AI applications and LLM integrations. The role focuses on Python, FastAPI, and AWS, guiding engineering practices across the organization.

Responsibilities include shaping platform-level solutions, observability, and performance improvements, while mentoring engineers and aligning tech choices with business goals. This is a remote work opportunity.

Qualifications

• 7+ years of professional software engineering experience with backend and distributed systems.
• Expert-level proficiency in Python for building large-scale production systems.
• Comprehensive understanding of LLMs, generative AI architectures, and AI infrastructure (LangChain, litellm, Langfuse, APIs).
• Proven track record architecting and delivering complex, scalable platforms on AWS.
• Experience with microservices, distributed systems, and event-driven architectures.
• Strong leadership, mentoring, and impact-driven work history.
• Strong history of technical leadership, mentoring engineers, and driving organizational impact.
• Bachelor's or Master's degree in CS or related field, or equivalent practical experience.
• Excellent strategic thinking balancing short-term delivery with long-term architectural vision.

Responsabilités

• Define technical strategy and architecture for Python-based AI backend platforms (FastAPI) supporting LLM integration and AI pipelines.
• Architect scalable and secure systems on AWS (Lambda, EKS) to serve multiple teams.
• Drive engineering standards for observability, monitoring, and operational excellence across AI services.
• Lead cross-functional initiatives to optimize performance, security, and scalability of large-scale AI apps.
• Mentor engineers and lead architecture reviews to raise team quality and delivery.
• Lead cross-functional initiatives to optimize performance, security, and scalability of AI apps.
• Mentor and guide engineers through code/architecture reviews.
• Identify technical debt and drive long-term fixes; collaborate with leadership and stakeholders.
• Influence technology choices and best practices across AI Software & Operations.

Connaissances

Python

AWS

Microservices

Distributed systems

Docker

Kubernetes

LangChain

Litellm

Langfuse

OpenAI APIs

Leadership

Mentoring

Formation

Bachelor's or Master's in CS or related field

Outils

Docker

Kubernetes

Terraform

CI/CD

Description du poste

ROLE DESCRIPTION The AI Backend Python Engineer (Staff) will provide technical leadership and define the architecture for backend systems that power the next generation of generative AI applications and large language model (LLM) integrations. This role focuses on driving strategic technical direction, designing platform-level solutions using Python, FastAPI, and AWS, and influencing engineering practices across the organization.KEY RESPONSIBILITIES* Define technical strategy and architecture for Python-based AI backend platforms (on FastAPI) that support LLM integration, generative AI pipelines, and AI agent orchestration* Architect scalable, reliable, and secure systems on AWS infrastructure (Lambda, EKS) that serve as the foundation for multiple teams* Drive technical decisions that impact organization-wide engineering practices and platform capabilities* Design and champion AI system observability using LangChain, Langfuse, and litellm* Establish engineering standards for monitoring, logging, observability, and operational excellence across AI backend services* Lead cross-functional initiatives to optimize performance, security, and scalability of large-scale AI applications* Mentor and technically guide engineers at all levels, elevating team capabilities through code reviews, architecture reviews, and technical leadership* Identify technical debt, performance bottlenecks, and architectural limitations; drive long-term solutions* Collaborate with engineering leadership, product, and other 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 solutionsBASIC QUALIFICATIONS* 7+ years of professional software engineering experience with extensive backend and distributed systems expertise* Deep expert-level proficiency in Python for building large-scale production systems* Comprehensive understanding of LLMs, generative AI architectures, and AI infrastructure (LangChain, litellm, Langfuse, OpenAI/Anthropic APIs)* Proven track record of architecting and delivering complex, scalable platforms on AWS* Expert knowledge of microservices architecture, distributed systems design, and event-driven architectures* Demonstrated experience with containerization, orchestration (Docker/Kubernetes), 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 visionPREFERRED QUALIFICATIONS* Extensive experience designing and building platform-level infrastructure for AI/ML workloads at scale* Deep expertise in FastAPI, asynchronous Python, and high-performance backend systems* Proven track record of architecting event-driven and real-time systems for AI applications* Experience influencing engineering culture, establishing best practices, and driving technical standards* Strong background in MLOps, model deployment strategies, and AI system reliability* Expertise with infrastructure-as-code, CI/CD automation, and platform engineering* Experience working with product and business stakeholders to translate requirements into technical strategy* History of leading cross-functional technical initiatives with measurable organizational impact* Published technical work, open-source contributions, or recognized expertise in AI backend systems* Exceptional communication and influence skills across all levels of the organizationWork location assignment : Remote