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The Senior Backend & AI Engineer will build scalable microservices and integrate AI capabilities, including LLM orchestration, RAG, and fine-tuning, into newsroom platforms. The role requires expertise in Node.js, TypeScript, and LangChain to develop AI-powered solutions within a distributed, asynchronous global team.
The Data & AI Architect will design and implement scalable data platforms and AI solutions, including GenAI and agent systems, within a cloud environment. The role involves collaborating with cross-functional teams to translate business requirements into robust technical architectures.
The Senior AI Engineer will lead the Consumer Business Intelligence team at Bell Canada, focusing on architecting and deploying scalable, agentic AI systems into production. This role involves guiding technical teams through the full AI lifecycle, from initial experimentation to enterprise-grade deployment.
This role involves building and maintaining data pipelines and production-grade applied AI components for a building decarbonization SaaS platform. The engineer will focus on data ingestion, modeling, and scaling AI features while ensuring data quality and observability.
The Data Quality & AI Engineer will design and deploy cloud-native data quality solutions on GCP, utilizing Python, Generative AI, and AI agents to build automated data frameworks.
A Forward Deployed Engineer specializing in AI and data, building production solutions including AI agents, data pipelines, integrations, PoCs, and evaluation frameworks directly for enterprise clients in a fast-paced startup environment.
This Forward Deployed Engineer role involves working directly with customers to solve real-world problems while contributing to the development of the company's core AI and data product. The position requires strong proficiency in Python, SQL, and data engineering, with a focus on building and maintaining production-grade systems.
Forward Deployed Engineer building production AI/data solutions, pipelines, and integrations directly with enterprise clients across Europe using Python and SQL.
Global M is seeking a Forward-Deployed Data & AI Engineer to build production solutions for clients and contribute to core product development. The role involves balancing customer-facing work with technical product engineering within a remote European timezone environment.
NTT Data is seeking a technical leader to drive data strategy and GenAI/ML initiatives, focusing on LLM-based platforms and production deployment. The role involves working within the Digital Strategy practice on data governance, security, and ethical AI implementation.
The Forward Deployed Engineer acts as a bridge between AI, data, product, and clients to build AI agents, data pipelines, and PoCs. The role focuses on delivering production-ready AI solutions using Python and SQL.
The Forward-Deployed Data & AI Engineer builds production AI solutions and data pipelines while collaborating directly with customers to guide product development. The role requires strong Python and SQL skills and experience with AI evaluation in a fast-paced startup environment.
Funditec is seeking a Senior Data AI Engineer to lead the development of advanced AI solutions for cybersecurity and digital transformation. The role involves architectural coordination, model validation, and technical mentorship within R&D projects.
Bridge AI, data, product, and customers by building AI agents, data pipelines, integrations, PoCs, and evaluation frameworks for enterprise clients in a startup environment.
Develop LLM-based features (RAG, chatbots, text generation), autonomous AI agents for process automation in portfolio firms, ML solutions, and data engineering pipelines for a private equity company in Berlin.
The Senior Data/AI Engineer Manager will lead data and AI engineering initiatives in a permanent role based in Manchester. The position requires eligibility for security clearance and offers a hybrid working model.
The Senior AI Engineer will design, build, and deploy scalable AI-powered applications using LangChain, Azure AI, and Databricks. The role involves collaborating with stakeholders to implement robust data pipelines and production-grade AI systems.
Knight Frank is looking for an AI/GenAI engineer to develop and implement AI-enabled solutions that improve business efficiency and client services. The role involves assessing use cases, deploying models, and ensuring compliance with data security and governance standards.
Dainvi is hiring a Computer Vision ML Research Engineer in Hong Kong to focus on data-centric AI, labelless detection, and active learning. The role involves building scalable data pipelines and deploying secure AI models optimized for heterogeneous hardware.
The AI Software Engineer will develop and support software solutions for offline defense environments, focusing on AI technologies like RAG chatbots and generative media. The role requires 3-5 years of experience and familiarity with Python, JavaScript, and Docker.
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