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The Senior Data Engineer will build and scale document processing pipelines, OCR/VLM models, and knowledge ingestion systems for retrieval-augmented GenAI applications within Singtel's new AI & Data Analytics unit.
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 deploys generative-AI solutions, agents and automated workflows in Python and TypeScript, coaching teams to adopt AI tools and scale working prototypes into production.
Builds and deploys AI-powered customer solutions at scale, bridging AI/data engineering, cloud architecture, and customer-facing consulting to prototype and harden production-grade systems for enterprise/education clients.
Разработка и внедрение LLM-агентов для преобразования истории операций в интерактивную, натурально-языковую аналитику с автоматическими тегами и персонализированными инсайтами. Используются GigaChat, Finetuning, RAG-системы и классическое ML для анализа транзакций.
Leads AI/Data Science teams, designs analytical strategies, and implements advanced generative AI solutions using Python, TensorFlow/PyTorch, and cloud platforms.
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.
The AI Engineer will design, develop, and deploy scalable agentic AI systems and generative AI applications using the Databricks platform. This role involves collaborating with data scientists and engineers to integrate AI models into production environments while utilizing Python, SQL, and modern cloud architectures.
The Lead AI/ML Engineer will build an Agentic AI platform for site reliability and incident automation at RBC. The role involves designing autonomous agents using LangChain and LangGraph to optimize system resilience and monitoring within a financial services environment.
Data Scientist building AI/ML models, predictive analytics, and automated data flows for public-sector and industry clients, primarily using Python or R, Docker, Git, and BI tools.
The Senior AI Engineer will design and build agentic AI systems and LLM-driven workflows for financial products. The role requires strong Python skills and experience with knowledge graphs and AI orchestration frameworks.
Designing and deploying Agentic AI and Generative AI solutions using LangChain, LangGraph, RAG architectures, and LLM orchestration frameworks in London.
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.
Software Engineer building agentic AI systems for a major airline client via DRIMO, designing LLM-integrated flows, backend services in Java/Spring Boot, and GCP serverless components in a hybrid setup.
Develops cutting-edge software solutions for Volvo Cars, focusing on advancing automotive technology and digital innovation to address challenges in the mobility sector.
Exciting Opportunity for an Experienced Principal AI Data Engineer to help build and scale GenAI and agentic AI solutions as part of a new project for a Leading Energy Company. Responsibilities: Build and evaluate…
Build end-to-end features across frontend, backend, and AI/LLM components for internal tools, automation, and data-driven products at the world’s largest crypto exchange.
Develops GenAI applications from concept to production, integrating LLMs, RAG, and agentic workflows into secure enterprise systems; bridges client needs with engineering teams.
Build and optimize Conga’s AI/GenAI platform, designing scalable systems in Python/FastAPI, deploying models via MLOps, and mentoring engineers to power enterprise contract and revenue solutions.
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