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Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
Build and ship full stack web apps using modern JavaScript/TypeScript and backend stacks, while integrating AI features and leveraging AI coding assistants daily.
You’re an experienced AI architect who wants to turn applied AI into scalable, production-grade systems while helping clients create tangible business value. As a senior consultant, you will work across the full…
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.
Who We Are: Founded in 1994, Integrated Medical Systems, Inc. (IMS) is one of the nation’s leading distributors serving the alternate-site healthcare market. We build valued partnerships with our customers by providing…
Builds and optimizes LLM-powered autonomous agents, focusing on prompt engineering, orchestration, and cloud-native deployment with Python and AWS.
Build and secure AI-enabled applications, agents, and RAG systems in a hybrid role, shaping AI security strategy, threat modeling, and runtime guardrails while collaborating on application security reviews.
Designs AI RAG pipelines and optimizes vector databases in Azure to solve customer challenges and drive data-driven decisions for a Barcelona-based team.
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)…
Lead Software Engineer building AI-native enterprise applications for IFS's Enterprise Asset Management team, using Go, TypeScript, DDD, and event-driven architecture to integrate LLM capabilities into production software.
Builds and deploys production-grade AI applications (LLMs, RAG) for fintech, focusing on backend integration, model optimization, and enterprise-grade solutions.
The AI Engineer will develop LLM-powered agents and RAG pipelines to automate workflows and build conversational interfaces for PureFacts' financial SaaS platform. The role focuses on integrating AI models, ensuring system reliability, and collaborating with cross-functional teams to deliver production-ready AI copilots.
Design and deploy production-grade AI systems, including LLM apps, RAG, and agent workflows, while advising clients on technical and organizational AI adoption.
We Are: We are at the forefront of a new era in enterprise AI — one that moves beyond isolated models and experiments toward fully governed, production-grade AI systems. Our Data & AI practice brings together more…
Embedded AI engineer at Google Cloud who builds, deploys, and optimizes bespoke agentic AI solutions for high-value public sector clients, bridging Google’s AI products with customer infrastructure while driving product roadmap improvements.
The Solutions Architect designs and delivers technical foundations for AI-enabled products within the Kroger Precision Marketing portfolio. This role involves defining architecture patterns, building prototypes, and collaborating with cross-functional teams to scale data and API solutions.
AI systems Build, fine-tune, and evaluate LLM systems for domain-specific tasks (QLoRA / PEFT on open-weight models such as Llama-3 and Mistral). Design reproducible evaluation harnesses and A/B test frameworks with…
Designing and deploying Agentic AI and Generative AI solutions using LangChain, LangGraph, RAG architectures, and LLM orchestration frameworks in London.
Salary: £100,000 - 100,000 per year Requirements: Strong commercial experience as a Senior Software Engineer or AI Engineer with a full-stack Microsoft development background. Extensive experience developing…
The AWS AI Agent Engineer will design, build, and operate enterprise-grade AI agents and multi-agent workflows using Amazon Bedrock and AWS serverless technologies. The role focuses on implementing RAG, orchestration, and observability to ensure reliable, secure, and cost-effective production AI applications.
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