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The AI Engineer will design and deploy production-grade AI solutions, focusing on LLM applications, RAG pipelines, and scalable ML services. The role involves building multi-agent workflows, optimizing retrieval systems, and managing MLOps processes.
Lead a team of data scientists to design, validate, and deploy ML/LLM solutions, ensuring technical rigor and measurable business impact while mentoring peers.
MONTICELLOAM, LLC and its affiliates (“Monticello”) is a real estate and asset-based lender providing asset management and comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets…
The Senior AI/ML Data Engineer will architect and maintain enterprise-scale data platforms to support RAG, LLM applications, and Agentic AI for defense and intelligence clients. The role involves leading technical strategy, ensuring data quality and observability, and collaborating with cross-functional teams to deliver secure AI solutions.
The Data and AI Engineer will manage the company's data infrastructure by maintaining an AWS Redshift data warehouse and building AI-driven analytics tools. This role involves creating ETL pipelines and developing agentic workflows to provide actionable insights for stakeholders across the restaurant group.
Own applied AI/ML solutions powering patient-provider matching, search ranking, and clinical personalization at a mental health company—building production recommendation engines, LLM integrations, and ML infrastructure using Python, vector databases, and search/relevance systems.
Designs and implements AI-driven solutions for Workday HR and Finance systems, configuring native AI tools and autonomous agents while leading client assessments and transformation roadmaps.
Leads a machine learning organization at a global travel platform, defining AI strategy for personalization, recommendations, and generative AI while scaling a team across London, Oxford, and Krakow.
The Platform Engineer will build infrastructure, API integrations, and AI-powered applications to embed AI capabilities into internal workflows at a defense technology company. The role focuses on practical implementation using Python and TypeScript to connect AI models with internal systems.
Senior LLM Engineer (RAG & AI Applications) Guildford, Surrey (Fully Onsite) £75000 - £125,000 25% Bonus, 10% Pension, Private Medical. - Must have a Masters or PhD Degree in a STEM/Computing discipline. - Must work…
Principal GenAI Consultant designs and deploys production-ready generative AI solutions on Databricks for enterprise clients, leading full lifecycle projects from architecture to deployment.
Machine Learning Engineer designing and scaling multi-agent LLM systems (LangGraph, Google ADK, MCP) that power Coinbase's customer support chat and help center, using Python microservices and vector databases.
Senior Software Engineer designing, building, and scaling agentic AI systems (multi-agent, RAG, voice AI pipelines) for a healthcare recruiting platform using Python, JavaScript, Node.js, AWS, Kubernetes, and Docker.
Cambio is seeking an AI Engineer to build and deploy AI-powered features for their real estate decarbonization platform. The role involves managing end-to-end AI pipelines, optimizing model performance through evaluation frameworks, and collaborating on production-grade generative AI solutions.
Senior AI/LLM Engineer at ASOS designing and industrializing core AI capabilities using Azure AI stack. Role involves building LLM-powered systems, RAG pipelines, and multi-agent orchestration for customer experience and operational decision-making.
Lead AI/ML projects end-to-end for an insurtech medical synthesis product, designing and deploying LLM-driven features using Python, RAG, embeddings, and hybrid ML approaches.
Qdrant is seeking a freelance, part-time Marketing Designer to create visual assets, landing pages, and ad creatives for their open-source vector search engine. The role requires expertise in Figma and creative AI tools to maintain brand consistency and provide art direction for AI-generated imagery.
The Agentic AI Engineer will design and deploy production-grade Generative AI applications, multi-agent workflows, and RAG pipelines on Microsoft Azure. The role involves collaborating with cross-functional teams to build enterprise-level AI-powered software solutions.
This role involves designing and optimizing scalable data engineering pipelines using Databricks and PySpark for a banking client. The engineer will focus on processing structured and unstructured data to support AI/ML and RAG initiatives.
The Senior Machine Learning Engineer will design and implement end-to-end LLM and generative AI pipelines for production environments. The role involves working with cloud platforms, MLOps, and various AI frameworks to build scalable, high-quality AI solutions.
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