CDI - AI Senior Backend Engineer - SBS - Paris

Description du poste

Job Description 

Join our team as a Senior Backend and play a pivotal role in evolving a robust, document-centric AI platform. Our system orchestrates asynchronous AI/ML pipelines, integrates state-of-the-art models (NLP, LLMs, OCR), and powers advanced knowledge workflows for enterprise users. You will lead architectural evolution, drive rapid AI/ML feature integration, and champion system observability and resilience. 

Key Responsibilities 

• Architect, implement, and optimize scalable backend services (Python/FastAPI) supporting asynchronous, document-driven AI/ML pipelines. 
• Integrate and operationalize new AI/ML models (NLP, LLMs, OCR, etc.), ensuring seamless deployment, versioning, and monitoring. 
• Enhance system observability, reliability, and fault tolerance across distributed services and background job managers. 
• Lead efforts to scale ingestion, processing, and retrieval of large document corpora, leveraging advanced storage and indexing strategies. 
• Collaborate with product and research teams to rapidly prototype and productionize new AI/ML features and document-centric workflows. 
• Identify and address architectural bottlenecks, technical debt, and opportunities for system modularization and performance improvement. 
• Mentor engineers, establish best practices, and foster a culture of technical excellence and continuous improvement. 

Les avantages à nous rejoindre :

• Un accord télétravail pour télétravailler jusqu'à 2 jours par semaine selon vos missions.
• Un package avantages intéressants : une mutuelle, un CSE, des titres restaurants, un accord d'intéressement, des primes vacances. 

Key Qualifications & Skills 

• 6+ years of backend engineering experience, with deep expertise in Python (FastAPI, asyncio, SQLAlchemy) and distributed systems. 

• Proven track record scaling asynchronous AI/ML pipelines and integrating diverse models (NLP, LLMs, OCR, etc.) into production systems. 

• Strong knowledge of containerization (Docker), orchestration (Kubernetes), and cloud-native deployment patterns. 

• Experience with observability stacks (logging, metrics, tracing) and designing for high availability and graceful degradation. 

• Advanced understanding of document storage, retrieval, and indexing (e.g., MinIO, Postgres, vector DBs). 

• Familiarity with authentication/authorization (JWT, OAuth, Keycloak) and secure API design. 

• Excellent communication skills and a passion for mentoring and technical leadership.