Staff Engineer – Core Platform

🕒 il y a 7 mois

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interface.ai

Site WebLinkedInTous les Emplois

51 - 200 employés

🤖 Intelligence artificielle

🏦 Banque

💳 Fintech

Artificial Intelligence • Banking • Fintech

interface. ai est une entreprise spécialisée dans les solutions basées sur l'IA pour l'industrie des services financiers. Elle propose des technologies avancées de voix et de chat IA qui améliorent les expériences de banque par téléphone grâce à des solutions de biométrie vocale et d'authentification. Son IA générative est conçue pour s'intégrer de manière transparente aux systèmes bancaires, automatisant les opérations des centres d'appel et améliorant l'expérience client en fournissant des solutions IA sécurisées et évolutives pour les services financiers. La plateforme d'interface. ai est pré-construite spécifiquement pour les banques et coopératives de crédit, permettant des améliorations significatives de l'efficacité opérationnelle et de l'engagement client tout en stimulant la croissance du revenu grâce à des informations financières personnalisées.

Description

• Architect and Build Distributed Systems: Design microservice-based architectures that enable scalability, low latency, and fault isolation for AI-driven features. • Optimize System Performance: Own performance at the platform level — from network I/O and API design to database indexing and caching strategies. • Enable AI Integrations: Work closely with LLM engineers to design APIs and data pipelines supporting RAG, embeddings, and model-inference use cases. • Design Resilient Data Infrastructure: Implement streaming and async systems (Kafka, Pulsar, or similar) to handle high-volume event traffic. • Drive Engineering Quality: Establish patterns for clean code, contracts, testing, and documentation. Lead architecture and code reviews across pods. • Mentor and Coach: Elevate senior engineers through structured mentorship, design walkthroughs, and technical guidance. • Champion Evolutionary Architecture: Build for change — advocate for modular, observable, and testable systems that can evolve with business needs. • Improve Platform Resilience: Implement retry, backoff, rate-limiting, and circuit-breaker patterns to ensure uptime and reliability at scale. • Collaborate Cross-Functionally: Work with AI, data, DevOps, and product teams to define shared contracts, SLAs, and infrastructure standards.

🎯 Exigences

• 8+ years of experience in backend or platform engineering, including 2+ years in high-scale B2C or distributed systems environments. • Deep understanding of scalability, consistency, concurrency control, and fault tolerance. • Proven track record designing systems with strict SLA and sub-second response times. • Strong experience building, deploying, and maintaining service-oriented architectures with APIs, event streams, and async messaging. • Hands-on experience with Weaviate, Pinecone, Qdrant, FAISS, or similar; strong grasp of RAG patterns and semantic retrieval. • Expertise in Go, Rust, Java, or Python, and familiarity with modern frameworks (gRPC, GraphQL, REST). • Solid understanding of SQL/NoSQL databases (PostgreSQL, Cassandra, DynamoDB) and caching systems (Redis, Memcached). • Experience designing with telemetry, distributed tracing, chaos testing, and monitoring (Prometheus, OpenTelemetry). • Passion for clean code, automated testing, CI/CD, and maintainability. • Experience mentoring teams, enforcing code quality standards, and elevating design practices.

🏖️ Avantages

• Inclusivity and welcoming environment • Commitment to diversity and respect for unique perspectives