3 days ago
Paris, FranceStaff+
Responsibilities
- Define technical strategy and architecture for Python-based AI backend platforms supporting LLM integrations, generative AI pipelines, and AI agent orchestration.
- Architect scalable, reliable, and secure distributed systems on AWS using Lambda and EKS.
- Design and champion observability for AI systems using LangChain, Langfuse, and litellm.
- Establish standards for monitoring, logging, observability, security, performance, and operational excellence.
- Lead cross-functional initiatives addressing technical debt, performance bottlenecks, scalability, and architectural limitations.
- Mentor and technically guide engineers through code reviews, architecture reviews, and technical leadership.
- Influence technology choices, design patterns, engineering practices, and platform capabilities across the organization.
- Collaborate with engineering leadership, product, and stakeholders to align technical strategy with business objectives.
- Represent the team in organization-wide technical discussions and drive adoption of innovative solutions.
Requirements
- At least 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 and Anthropic APIs.
- Experience architecting and delivering complex, scalable platforms on AWS.
- Expertise in microservices, distributed systems, event-driven architectures, containerization, orchestration, and cloud-native patterns.
- Experience with Docker and Kubernetes.
- A strong record of technical leadership, mentoring, and organization-wide impact.
- Bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Preferred experience with FastAPI, asynchronous Python, high-performance backend systems, AI/ML platform infrastructure, MLOps, model deployment, infrastructure-as-code, CI/CD automation, and platform engineering.
- Preferred experience with event-driven and real-time AI systems, stakeholder collaboration, technical standards, cross-functional initiatives, open-source contributions, or published technical work.
Benefits
- Remote work location assignment.
- Pfizer provides reasonable accommodations to support candidates with disabilities during the application and interview process.
- Pfizer is an equal opportunity employer committed to diversity and inclusion.
Tech Stack
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About Pfizer
Pfizer is a publicly traded biopharmaceutical company that discovers, develops, manufactures, and markets prescription medicines and vaccines for patients, healthcare systems, and governments worldwide. Its portfolio spans oncology, vaccines, immunology, and rare disease, with products such as the COVID-19 vaccine (with BioNTech) and the antiviral Paxlovid. Founded in 1849 and headquartered in New York City, Pfizer operates globally under the ticker PFE on the NYSE.