CDI - AI Engineer â Digital Banking - SBS - Paris
CDI - AI Engineer â Digital Banking - SBS - Paris
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Salary Not Disclosed
1 Vacancy
Job Description
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 agentssecurely 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.
Qualifications :
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 debtstart 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.
Informations supplmentaires :
Les avantages nous rejoindre :
- Un accord tltravail pour tltravailler jusqu 2 jours par semaine selon vos missions.
- Un package avantages intressants : une mutuelle un CSE des titres restaurants un accord dintressement des primes vacances et cooptation
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
