CDI - ai Engineer - Digital Banking - Sbs - Paris H / F

SBS; Courbevoie; Hybride; EUR 60 000 - 90 000; Plein temps

Résumé du poste

SBS is seeking an AI Engineer to lead the development of an innovative retrieval-augmented-generation platform within their Digital Banking Business Unit. This role involves end-to-end design and integration of AI tools while ensuring compliance with banking regulations, offering a unique opportunity to shape the future of banking technology in a dynamic environment. Join us for a chance to impact the banking sector positively and foster a collaborative engineering culture.

Prestations

Flexible work policy

Regular on-site workshops

Ownership of projects

Opportunity for real-world impact

Qualifications

• 5+ years in software or data engineering, 2+ years in GenAI/NLP.
• Proven ability to design and deliver AI products.
• Strong communication skills.

Responsabilités

• Design and deliver a RAG platform for banking AI.
• Integrate LLMs into the architecture.
• Mentor junior engineers and share best practices.

Connaissances

Python

TypeScript

Java

MLOPS

Data Engineering

Security & Compliance

Outils

Kubernetes

Docker

Terraform

Kafka

Description du poste

SBS builds mission-critical banking software and, together with our sister company Axway, now forms the 74 Software group. Within our Digital Banking Business Unit, we are assembling a small, high-impact team to craft a new generative-AI product line. Your first mission : design and deliver a retrieval-augmented-generation (RAG) platform that lets bankers compose and deploy their own AI agents-securely, compliantly, and at scale. You will BE one of the founding AI engineers on this journey, shaping architecture, practices, and culture from day one. Key Responsibilities 1. GenAI Architecture & Development - End-to-end design of RAG pipelines : document ingestion, chunking, embedding, vector search, prompt engineering, guards, and evaluation. - Integrate open-source and commercial LLMs (e.g., OpenAI, Gemini, Llama-3 etc.) via LangChain / LlamaIndex or custom frameworks. - Build reusable agent primitives so non-technical users can chain tools, memory, and policies into bespoke banking assistants. 2. Data & Domain Governance - Implement data-classification, masking, PII scrubbing, and hallucination mitigation aligned to EU banking regs (EBA, GDPR, DORA). - Collaborate with our Risk & Compliance team to embed explainability and audit trails in every response. 3. MLOPS & Platform Engineering - Containerize and orchestrate AI micro-services on Kubernetes / OpenShift; automate CI / CD with GitLab. - Own model lifecycle : evaluation suites, continuous monitoring, rollback strategies, and cost optimisation. 4. Collaboration & Leadership - Mentor two junior engineers and evangelise best practices across the company. - Work closely with Product, UX, and Solution Architects to translate banking workflows into agent capabilities.

Key Qualifications & Skills Technical Expertise - must-have : - Programming : Python (advanced); TypeScript / Java is a plus. - LLM Tooling : LangChain or LlamaIndex; prompt engineering; vector databases (PGVector, Weaviate, Milvus, Elastic, Pinecone). - Cloud & Containers : Kubernetes / OpenShift, Docker, Terraform; at least one major cloud (Azure preferred, AWS / GCP fine). - Data Engineering : ETL on structured & unstructured data, streaming (Kafka / PubSub), SQL optimisation. - MLOPS : CI / CD for models, experiment tracking (MLflow / Weights & Biases), monitoring (Prometheus / Grafana). - Security & Compliance : OAuth2 / OIDC (Keycloak), RBAC, secrets management, encryption in transit & at REST; familiarity with banking regulations. Technical Expertise - nice-to-have - Retrieval algorithms beyond dense vectors (hybrid BM25 + embeddings). - Experience rolling out AI chat / agent products to external customers. - Knowledge of EU or MEA banking standards Experience & Work Ethic : - 5 + years in software or data engineering with 2 + years hands-on GenAI / NLP. - Proven ability to take fuzzy product ideas to production with minimal supervision. - Strong communication skills; comfortable presenting technical trade-offs to non-technical stakeholders. Why Join Us? - Green-field GenAI stack : no tech debt-start with the latest research and tools. - Real-world impact : empower banks to launch compliant AI services their customers can trust. - Ownership & growth : shape the engineering culture inside a global group while staying in a tight, startup-like squad. - Hybrid work & Paris HQ : flexible policy with regular on-site workshops for deep collaboration.