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Build and deploy enterprise-grade AI agents and copilots for customer experience, integrating LLMs, APIs, and telephony systems while leading client-facing demos and implementations.
Designs, integrates, and deploys enterprise-grade AI agents and copilots for customer experience, focusing on prompt engineering, workflows, and API integrations with LLMs and telephony systems.
Designs and deploys AI infrastructure solutions for enterprise customers, focusing on LLM workloads and GPU-based cloud platforms.
Builds AI-powered agents and internal tools using frameworks like LangChain and React, integrating with enterprise systems (ERP, HRIS) and deploying on cloud infrastructure.
Design and deliver AI infrastructure demos and proofs-of-concept for new customers, partnering with sales and engineering to onboard greenfield AI teams onto CoreWeave’s GPU-powered cloud platform.
Build and own Python microservices on AWS, integrate LLM workflows, and mentor peers while collaborating with US clients to deliver scalable backend solutions.
Data Engineer | London (Hybrid) | up to £500/day - Outside IR35 | Initial 6-Month Contract We're partnering with a leading organisation undergoing a major transformation of its data and AI capabilities. They are…
Build and deploy AI-powered features and automations for a fintech/proptech company, integrating LLMs, RAG, and low-code tools into production workflows.
The Senior AI/ML Engineer will build and scale complex multi-agent AI systems and RAG architectures using Python, AWS, and modern generative AI frameworks. The role focuses on developing, fine-tuning, and deploying AI solutions within a financial infrastructure environment.
Build and maintain customer-facing features, REST APIs, backend services, and data workflows for an AI-driven cybersecurity threat detection platform, primarily using Python and relational databases.
Senior Applied AI/ML Scientist building and shipping LLM-powered agentic workflows, retrieval systems, and evaluation frameworks for NewsWhip's real-time news intelligence platform, primarily using Python, LLM APIs, and vector databases.
The Senior Applied AI/ML Scientist will architect and deploy production-grade LLM agentic workflows and retrieval systems to process real-time news data. The role focuses on building scalable, observable AI features while driving evaluation standards for accuracy and performance in a media intelligence context.
Semi-senior full-stack AI engineer building end-to-end software solutions (frontend, backend, databases) with ML/AI integrations like Azure OpenAI, LangChain, and RAG for a banking client in a hybrid setup in Santiago.
The Agentic AI Engineer will design and deploy LLM-powered agentic workflows to automate and optimize internal product support processes. The role focuses on building production-grade AI systems using frameworks like LangGraph and Python, ensuring reliability, security, and effective collaboration with business stakeholders.
Location: Europe only Employment type: Full-time, Remote About the Role We're looking for a Middle/Senior Generative AI / Machine Learning Engineer to help build production-grade AI systems from classical ML and…
The AI Automation Engineer will design and deploy autonomous AI agents and workflows to automate business, supply chain, and manufacturing processes. The role utilizes Python, LLM orchestration frameworks like LangChain, and Azure/Microsoft Fabric to build production-grade agentic systems.
The Cloud and Data Engineer will optimize data pipelines and ETL processes using Databricks, while designing AI agentic workflows and integrating LLMs into data systems. The role involves collaborating with cross-functional teams to ensure data integrity and building automated testing frameworks within a cloud environment.
Build and deploy AI-driven models to optimize ad performance and monetization for publishers using large-scale data pipelines and agentic AI tools in a hands-on role.
Showtime Consulting is seeking a Senior Data & AI Engineer to design and deliver enterprise-scale AI, data platforms, and agentic solutions. The role involves building production-ready data pipelines, implementing RAG and LLM frameworks, and providing technical leadership in cloud-native environments.
Senior Backend Python engineer designing and evolving corporate AI assistants (ATS, internal platforms) using LangGraph, LangChain, microservices, and distributed systems in a fully remote role.
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