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Python Developer - Sassuolo
Build and optimize AI-driven automation tools using Python, JavaScript, and vector databases like Pinecone. Integrate AI models and APIs to streamline business workflows.
Data Platform Engineer
Design and build scalable data platforms and AI systems for enterprises, using AWS/Azure services, Python, and modern data architectures like data mesh/fabric.
GenAI Full Stack Engineer - Consultant / Senior Consultant - Digital Excellence
Build and scale GenAI full-stack apps using RAG, intelligent agents, and modern web tech (React/Next.js, FastAPI/Express) on AWS/Azure, with Docker/Kubernetes and vector databases.
Full Stack Engineer
Build AI-driven healthcare applications end-to-end using Python/TypeScript, agent frameworks, and vector databases, deploying on cloud platforms while owning the full stack from design to production.
GenAI Full Stack Engineer
Build and scale GenAI proof-of-concepts into production apps using RAG, intelligent agents, and full-stack tech like React, FastAPI, and AWS/Azure.
Senior Backend AI Engineer
Senior backend engineer building and scaling AI/LLM systems, including RAG pipelines, copilots, and agentic workflows with Python, vector DBs, and observability tools.
Lead Data Engineer | Careers | Knowledge Gate Group
Lead a team building a knowledge graph that maps scientific experts from publications and clinical trials using graph databases, vector embeddings, and LLM workflows to power expert discovery and AI-driven insights.
Full Stack Developer
Build full-stack web and mobile apps using React, Django, Node.js, and React Native/Flutter, deploy on AWS/GCP/Azure, and integrate AI features.
Senior ML Engineer Infrastructure & Data Systems
Senior ML engineer builds and maintains scalable cloud ML infrastructure, deploys LLMs with PyTorch/TensorFlow, and owns CI/CD, Kubernetes, and monitoring for production AI systems.
Data Engineer / AI Knowledge Systems Specialist
Build and maintain AI-ready knowledge systems by cleaning, structuring, and connecting client data for RAG chatbots and enterprise copilots using vector search and embeddings.
AI / MLOps Engineer
Builds and deploys AI/ML models from prototype to production, focusing on MLOps pipelines, model monitoring, and scalable infrastructure for public-sector and energy clients using PyTorch, TensorFlow, and cloud platforms like AWS SageMaker.
Senior Data Engineer Python | Hadoop | AI | Big Data
Build and maintain large-scale data pipelines and AI-ready platforms for a banking client using Python, Hadoop, Spark, and cloud tech to support ML, GenAI, and analytics.
M55 - Full Stack Engineer
Build and harden AI-enabled applications (chatbots, RAG, agents) from prototype to production, integrating Azure AI services and ensuring security, compliance, and observability.
Full Stack Engineer 0807-3
Build production-grade AI applications from prototypes, refactoring prototypes into secure, scalable solutions using Azure AI services, full-stack development, and responsible AI patterns.
Python Developer
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and Azure AI services, integrating LLMs with RAG pipelines and vector databases.
Python Developer (AI / LLM/ RAG)
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and RAG with Azure AI Search and LLMs to deliver conversational, enterprise-grade solutions.
Python Developer AI Systems, LLMs & RAG
Build and optimize Python-based AI applications using LLMs, RAG, and vector databases to power enterprise-grade intelligent automation for healthcare and other industries.
Python Developer
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and Azure AI services, integrating LLMs with RAG pipelines and vector databases.
Python Developer
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and RAG pipelines with Azure AI Search and LLMs.
FS Technology Consulting - AI and Data - Forward Deployed AI Engineer - Manager - Dublin
Lead AI engineering and architecture for financial-services clients, designing GenAI and multi-agent systems, deploying RAG pipelines, and aligning solutions with EU regulations and enterprise standards.