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Azure Data Engineer: Foundry & AI-Driven Pipelines
Design and build scalable Azure data pipelines and lakehouse/warehouse solutions, integrating with Microsoft Foundry to enable generative AI and intelligent agent workflows.
AI Data Engineer
Build and optimize scalable data pipelines and AI-ready systems, including vector search, RAG, and retrieval pipelines, using Databricks, Spark, and Python.
Lead Data & ai Engineer H/F
Lead a team building and industrializing data pipelines, Snowflake-based warehouses, and AI features (LLMs, RAG, agents) for a French home-care services group, ensuring reliability, security, and responsible adoption.
Développeur GenAI Backend (.NET/Python)
Builds backend services for generative AI integrations using .NET/C# and Python, with LLM/RAG pipelines, SQL, Elasticsearch, Docker, Kubernetes, and CI/CD.
AI Software Engineer (Applied AI)
Build production AI systems that automate construction workflows like procurement and project execution using Python, FastAPI, and LLMs.
Software Development Engineer
Build and maintain production LLM agent tools, RAG systems, and MCP integrations using Python (FastAPI, LangChain) and TypeScript/React with AI-assisted development tools like Claude Code.
Senior AI & Data Engineer
Build and maintain an enterprise-scale data platform that powers AI agents, knowledge bases, and RAG systems using Python, GCP, and vector databases.
Business Analyst - AI & Agentic Automation, Data Analyst
Designs AI agents and automation workflows to streamline business processes, improve reporting, and enhance data quality using tools like Power BI, ChatGPT, and Microsoft Copilot Studio.
Forward Deployed AI Engineer
Build and deploy AI-powered legal workflow tools by integrating LLMs into enterprise document systems, translating customer needs into production-ready solutions for law firms and in-house teams.
Agentic AI Engineer
Design and build agentic AI systems using GenAI, ML, and systems engineering for domains like healthcare, finance, and retail; implement RAG, multi-agent workflows, and full-stack Python applications on Azure.
Software Engineering Consultant: Backend, Data & AI - saint-bonaventure
Build and maintain Python-based backend services, REST APIs, and Snowflake integrations, and develop LLM-powered features using hosted model APIs and RAG workflows.
Software Engineering Consultant: Backend, Data & AI - saint-nazaire-d'acton
Build and maintain Python-based backend services, REST APIs, and Snowflake integrations, plus LLM-powered features using FastAPI/Flask/Django and hosted model APIs.
Software Engineering Consultant: Backend, Data & AI - saint-joseph-de-beauce
Build and maintain Python-based backend services, REST APIs, and Snowflake integrations, then add LLM-powered features like RAG and prompt workflows while collaborating with cross-functional teams.
Software Engineering Consultant: Backend, Data & AI - sainte-luce
A backend/data/AI consultant builds and maintains Python-based microservices, REST APIs, and Snowflake integrations, while developing LLM-powered features like RAG applications and model APIs for clients.
Software Engineering Consultant: Backend, Data & AI - saint-prosper-de-dorchester
Build and maintain Python-based backend services, REST APIs, and Snowflake integrations, and develop LLM-powered features using FastAPI/Flask/Django and hosted model APIs.
Software Engineering Consultant: Backend, Data & AI - saint-laurent
Build and maintain Python-based backend services, REST APIs, and Snowflake integrations, plus develop LLM-powered features using hosted model APIs and RAG workflows.
Software Engineering Consultant: Backend, Data & AI - halifax
Build and maintain Python-based backend services, REST APIs, and Snowflake integrations, plus develop LLM-powered features using hosted model APIs and RAG workflows.
Senior Data Platform Engineer
Build and maintain a governed, AI-ready data lakehouse (Databricks/Snowflake) that unifies SAP, POS, IoT, and unstructured data for analytics, ML, and GenAI use cases.