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Role As our Agentic AI Engineer, you will build the intelligence layer that sits on top of our knowledge graph: the part of APAS that turns structured regulatory and operational data into deterministic, citation-backed…
Builds and maintains data pipelines using Databricks, focusing on ETL/ELT processes, data quality, and cloud-based data processing with Delta Lake, PySpark, and Unity Catalog.
Lenovo is seeking a Finance AI Full Stack Engineer to design and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems. The role involves building end-to-end applications, integrating with ERP systems, and optimizing AI performance for finance-related workflows.
Lead AI-driven full-stack development for a product company, owning backend (Node.js, Python), frontend (React/Next.js), and AI integrations (LLMs, RAG pipelines). Architect scalable systems, mentor engineers, and champion AI coding tools.
Build and ship full stack web apps using modern JavaScript/TypeScript and backend stacks, while integrating AI features and leveraging AI coding assistants daily.
Own and extend live LLM pipelines (RAG, content generation) in TypeScript/Next.js, improving reliability, quality, and cost while integrating with business systems.
This senior fullstack role involves building and scaling web applications and production-grade LLM/RAG solutions using Node.js and Vue.js. The developer will own end-to-end architecture, including API design, RAG pipeline development, and AI workflow orchestration.
Middle Full Stack Developer (Generative AI) La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto. Location: Spain (100% Remote)…
Build AI-powered home design tools that let customers plan kitchens, bathrooms, and full homes using LLMs, vector search, and conversational interfaces.
Builds and deploys production-grade AI applications (LLMs, RAG) for fintech, focusing on backend integration, model optimization, and enterprise-grade solutions.
Salary: £50,000 - 60,000 per year Requirements: Strong commercial software engineering experience, ideally within the Microsoft technology stack. Good development experience with C#/.NET and modern software engineering…
Salary: £35,000 - 40,000 per year Requirements: JavaScript and Vue.js - comfortable building and maintaining component-based UIs Python - FastAPI or similar, writing Lambda endpoints PostgreSQL - confident writing…
Senior Data Scientist builds AI-powered internal tools for sales and customer success teams, using LLMs and Python to automate account research, outreach, and risk detection in a hybrid Dublin/London role.
The Lead Data Engineer will architect and scale data infrastructure for an AI-powered property management platform, managing real-time pipelines, vector databases, and ML workflows. As the first senior data hire, this role involves defining the technical stack, engineering standards, and data strategy while collaborating with AI and product teams.
Software developer building rapid proof-of-concepts for innovation projects using Python, C#, and GenAI/RAG techniques at a dental scanning and CAD/CAM company in Copenhagen.
Greenfield Senior Data Engineer building an analytical data platform on cloud infrastructure, designing ELT pipelines with dbt/Postgres, and creating AI data layers including embeddings, vector stores, and RAG plumbing for internal and customer-facing LLM agents.
Senior Data Engineer builds scalable data pipelines and infrastructure for an AI-powered property-management platform, including vector databases and real-time analytics to support ML workflows.
Leads a team of 2–4 engineers to deliver end-to-end software solutions for Quanta’s energy/utility clients, blending hands-on coding with technical leadership and stakeholder collaboration.
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
Builds AI-driven backend solutions for IKEA’s digital home design tools, integrating LLMs and vector search to enable personalized home furnishing configurations and enhance customer experiences.
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