3 дня назад
Staff Software Engineer (AI Backend Services)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI Backend Services) (Python/FastAPI/AWS): Defining the architecture and technical strategy for backend platforms powering generative AI applications, LLM integrations, and AI agent orchestration with an accent on scalability, security, and observability. Focus on designing distributed cloud-native systems, establishing reliability standards, and driving organization-wide technical direction for AI services.
Location: Remote assignment for the France - Rives de Paris posting
Company
is a global pharmaceutical company developing medicines and serving patients and communities worldwide.
What you will do
- Define the technical strategy and architecture for Python-based AI backend platforms using FastAPI.
- Design scalable, reliable, and secure AWS systems with Lambda and EKS for generative AI applications and LLM integrations.
- Build and improve AI observability using LangChain, Langfuse, and litellm.
- Establish standards for monitoring, logging, operational excellence, performance, security, and scalability.
- Lead cross-functional technical initiatives, identify technical debt and bottlenecks, and drive long-term architectural solutions.
- Mentor engineers, lead architecture and code reviews, and influence engineering practices across the organization.
Requirements
- 7+ years of professional software engineering experience with extensive backend and distributed systems expertise.
- Expert-level Python proficiency and strong experience with FastAPI, asynchronous Python, and high-performance backend systems.
- Deep understanding of LLMs, generative AI architectures, AI infrastructure, and APIs such as OpenAI and Anthropic.
- Experience architecting scalable platforms on AWS and working with microservices, distributed systems, and event-driven architectures.
- Experience with Docker, Kubernetes, cloud-native patterns, MLOps, model deployment, and AI system reliability.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice to have
- Experience with infrastructure-as-code, CI/CD automation, and platform engineering.
- Experience leading cross-functional initiatives and influencing engineering culture and technical standards.
- Published technical work, open-source contributions, or recognized expertise in AI backend systems.
Culture & Benefits
- Full-time employment within a large global organization.
- Opportunity to influence engineering practices and platform capabilities across the AI Software & Operations department.
- Inclusive workplace committed to equal employment opportunities and reasonable adjustments for candidates with disabilities.
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