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Senior Data Engineer (LLM & RAG)
Senior Data Engineer builds scalable pipelines, modernizes LLM architectures, and implements RAG systems to enhance data quality and enable advanced analytics for a telecom group.
Ai & Data Engineer
Build autonomous AI agents and RAG systems to automate marketing workflows, integrating LLMs, vector databases, and cloud platforms like GCP/AWS.
Engineering Lead - Hands-on Backend focus (Python) / Full-Stack experience
Lead backend engineering for an AI-native HR platform, building agentic systems that automate hiring, onboarding, and employee operations using Python, LLMs, and conversational AI.
Full Stack Developer AI
Lead a full-stack team building AI-powered products using Python, Node.js, React, and cloud services (AWS/Azure), with a focus on RAG systems, LLMs, and LangChain.
Backend Developer
Build and deploy AI-driven data analytics and generative AI solutions on Azure and GCP, including MLOps pipelines and agentic AI workflows.
Python Developer
Build and maintain Python-based APIs and backend services for an AI company, using FastAPI/Django/Flask, async programming, and cloud tools like AWS/Azure.
Data Engineering
Design and scale real-time data pipelines for AI systems, focusing on RAG, vector databases, and semantic layers to power agentic reasoning in enterprise environments.
Senior Data & AI Engineer
Build and scale Snowflake-based data and AI systems, designing pipelines, models, and LLM/RAG applications that turn messy business data into trusted, production-ready solutions.
Full Stack AI Developer / Forward Deployed Engineer
Build and deploy AI-powered applications for clients, combining full-stack development with consulting to create scalable, production-ready solutions using LLMs, RAG, and cloud infrastructure.
Engineer IV - Applied AI
Designs and builds AI-powered solutions using LLMs, RAG, and agentic workflows to improve business processes and customer experiences.
Data & AI Engineer Confirmé·e (5 à 8 ans)
Build robust data pipelines and AI solutions for Swiss clients, from ETL to GenAI prototypes, using Python, SQL, Azure, and Power BI to drive operational decisions.
Data & AI Engineer Confirmé·e (5 à 8 ans)
Build robust data pipelines and ML/GenAI solutions for Swiss clients, from ETL to dashboards and predictive models, using Python, SQL, Azure, and Power BI.
System Engineer – Data Science (m/w/d)
Design and build scalable AI/data-science architectures (LLMs, RAG, ML) in cloud and on-prem, then advise customers and implement solutions in Python, Azure ML, and Kubernetes.
Data & AI Engineer Confirmé
Build robust data pipelines and AI solutions for Swiss clients, from ETL to GenAI prototypes, using Python, SQL, and Azure/Microsoft Fabric, while driving adoption with Power BI dashboards.
AWS Data & AI Engineer at Noventiq WLL
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Junior GenAI Engineer — Remote AI & Data Innovator
Builds GenAI applications and autonomous multi-agent systems using Python, LLM APIs, and open-source models for enterprise clients.
Solution Engineer (AI & Big Data) @ Addepto
Act as a technical advisor during pre-sales, designing AI/LLM and modern data platform solutions for enterprises, and guiding clients from discovery to implementation.
GenAI Engineer (Mid) (AI&Data)
Build production-ready GenAI and agentic AI systems for global enterprises using Python, LLM APIs, and cloud platforms like AWS/Azure/GCP.
Junior GenAI Engineer (AI&Data)
Build enterprise-grade GenAI applications and autonomous multi-agent systems using Python, LLM APIs, and vector databases, then deploy them to cloud platforms for Fortune 500 clients.
Senior AI/Data Platform Engineer (Snowflake, GenAI) @ Jacobs
Design and operate Snowflake-based data platforms that power analytics, AI/ML, and GenAI workloads, including RAG and vector search, at enterprise scale.