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MLOps Engineer builds and scales automated pipelines for machine learning models in a large e-commerce trust-and-safety team, using Kubernetes, Docker, ClearML, and Nvidia Triton.
Senior AI Engineer/Technical Consultant designs and delivers AI solutions for clients, leading from architecture to production using Python, LLMs, and cloud platforms like Azure/GCP/AWS.
This role involves building and maintaining the data platform and backend services that power AI features for an educational platform. You will design data models, manage ingestion pipelines, and ensure system reliability in a production environment using Python, SQL, and AWS.
Design and operate the data platform behind Instructure's AI features—data models, pipelines, and backend services using Python, SQL, AWS, and relational/graph databases.
Мы — XPGraph, компания, создающая инновационные IT-решения для бизнеса и сотрудничающая со стартапами и крупными европейскими корпорациями. Для одного из наших проектов мы ищем AI Engineer (LLM / RAG / Agents). О…
Builds and deploys production-grade GenAI/Agentic AI systems using LLMs, RAG pipelines, and multi-agent frameworks like LangChain/AutoGen, focusing on scalability, observability, and cloud integration.
Build production-grade GenAI applications for clients in Sofia—implementing agentic workflows with LangGraph, RAG pipelines with vector databases, and LLM API integrations using async Python and FastAPI.
Вам предстоит: Генеративный ИИ и LLM-решения · Разрабатывать корпоративных AI-ассистентов, чат-ботов, copilot-сервисы и интеллектуальные интерфейсы для сотрудников и клиентов. · Интегрировать внешние LLM через API:…
Job Title: AI Software Engineer Location: Cambridge, ON | On-site Job Type: Full-Time Compensation: $130,000 - $155,000 Benefits: RRSP, health/dental/vision package, reimbursement for tuition and professional dues,…
Design, develop, and deploy GenAI and agentic workflows across the HR hire-to-retire lifecycle at Revvity, building full-stack applications that integrate LLMs and RAG pipelines with enterprise HR systems like Workday.
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
The Senior Machine Learning Engineer III will design, build, and optimize Retrieval-Augmented Generation (RAG) systems to deliver accurate, source-grounded AI solutions for legal and professional information products. The role focuses on vector search, document ingestion workflows, and evaluating AI performance to minimize hallucinations.
This 8-month internship involves working with the Applied AI Engineering team to build and integrate LLM-based features, backend APIs, and data pipelines. Interns will gain hands-on experience with technologies like Python, LangChain, and Azure OpenAI while contributing to real-world AI security products.
Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed…
Designs and maintains a scalable, governed enterprise AI platform on AWS EKS, focusing on agentic AI workflows, secure LLM integrations, and compliance with healthcare/regulatory standards.
Build and ship production-grade AI agents using LangGraph and frontier models to automate real-estate workflows like lease administration and workplace management.
The AI Engineer designs and implements AI-based applications using Python, LLMs, and orchestration tools like LangChain. The role involves building scalable, secure architectures on cloud platforms and integrating them into enterprise environments.
Lead full-stack, multi-agentic AI application engineering at RBC, building secure React/TypeScript front-ends and backend microservices (Node.js/Python/Java) on Kubernetes with CI/CD, deployed in regulated banking environments.
Senior Software Engineer at a multidisciplinary engineering consultancy building embedded, industrial, medical, IoT, cloud, and real-time systems software using C, C++, C#, Python, and Linux.
The Gen AI Engineer designs and implements retrieval-augmented generation (RAG) pipelines for banking clients using the Azure AI stack and Python-based frameworks. The role focuses on building secure, traceable, and accurate AI systems, including prompt orchestration, guardrails, and vector database management.
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