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О компании Мы 2UPLAB - международное диджитал - агентство полного цикла. Занимаемся проектированием, разработкой и дизайном сложных интернет-проектов, разрабатываем веб- и мобильные программные приложения для клиентов…
Full-time term-time internship (Jan–Jun 2027) with CPF Board's Data Science Accelerator team in Singapore: build and maintain the data analytics platform on Azure (ETL pipelines, batch/stream processing, IaC) and develop AI agents using LangChain, LlamaIndex or AutoGen with vector databases and RAG.
Senior Data Engineer on NCS's AI Central Forward Deployed Engineering team, building AI-ready data pipelines (ingestion, cleaning, batch/streaming) and RAG/vector search infrastructure for client engagements, especially in regulated sectors like healthcare and government. Core stack: Python, SQL, Airflow/Spark/Kafka, and vector databases such as pgvector and Pinecone.
Full stack developer at NCS (Singtel Group) in Singapore, building end-to-end web applications — UIs, APIs/microservices, and data layers — with stacks like Java/Spring Boot, .NET, Python, or Node.js, while using AI coding assistants daily and integrating LLM/GenAI features (RAG, chatbots, agents) into client solutions.
Senior engineer in Toronto (hybrid, 4 days in office, in-person interview) building generative AI products and enterprise solutions: LLM pipelines, agentic workflows, MCP and Graph/RAG architectures on AWS. Full-stack work spans Python, LangChain/LlamaIndex, Bedrock, vector/graph databases, and Next.js/React/TypeScript. Requires 10+ years' experience.
Architects and builds scalable cloud-native backends — REST/GraphQL APIs, microservices, and databases — while integrating LLMs, RAG pipelines, and AI agents. Works with Python/Node.js/Java/Go, PostgreSQL/MongoDB/Redis, Docker/Kubernetes on AWS/Azure/GCP, plus OpenAI/Claude/Gemini APIs and vector databases.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
A customer-facing engineer designs and builds AI solutions (agents, RAG pipelines, LLM integrations) while advising enterprises on AI governance, security, and trust—traveling 40% to embed with clients.
A senior engineer embedded with enterprise clients to advise on AI governance, scope AI projects, and build production-ready solutions using LLMs and agentic workflows.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Staff ML Engineer on Babylist's Discovery team, owning recommendations and personalization end to end — homepage feed, product recs, search, and the AI registry assistant — from fuzzy problem to production model with measurable business impact. Core stack: Python ML tooling (deep learning, retrieval/ranking, SageMaker, MLflow) on a simple Rails/MySQL/AWS setup.
Leads GenAI/LLM engineering work for Deloitte's US clients from Tel Aviv (hybrid): building scalable Python back ends and applying LangChain, RAG, agents, and vector databases to turn complex business problems into data-driven solutions.
Builds and maintains production-grade AI solutions on Azure for Pentland Brands — intelligent agents, generative AI apps, and ML pipelines — while also handling BAU support for production APIs and the Azure platform (App Service, Azure SQL, Storage, SFTP). Core stack: Python, .NET/C#, SQL, LLMs/RAG, and agent frameworks like LangChain/LangGraph.
Builds secure, production-grade generative AI applications for U.S. federal programs using agentic workflows, RAG, and cloud AI services like AWS Bedrock and Azure OpenAI.
🚀 Join Visor.ai as an AI Engineer! At Visor.ai, we’re on a mission to revolutionize AI and automation for Contact Centers. By humanizing AI Agents, we help companies automate up to 85% of customer interactions,…
Designs, builds, and deploys end-to-end generative AI applications for enterprise use cases — LLM integration, RAG pipelines, and AI agents — using Python/FastAPI backends, React/Angular frontends, vector databases, and cloud platforms like Azure, AWS, or GCP. Owns the full lifecycle from solution design to production support.
Leads data engineering for RhythmX AI's generative-AI precision-care platform in Bangalore, building large-scale ETL pipelines over healthcare/EHR data (FHIR, HL7) and orchestrating GenAI workflows (RAG, LLMs) using Python, Airflow, Azure OpenAI, PostgreSQL/MongoDB, and vector databases.
Fully remote (India) AI engineer building and deploying LLM-powered applications, AI agents, and RAG solutions on Anthropic's Claude ecosystem. Day-to-day work centers on Python, Anthropic APIs/SDKs, LangChain/LlamaIndex, vector databases, and cloud platforms.
Experience Level: 8-10 Years Location: Bangalore/ Gurgaon/Hyderabad Employment Type: Full-Time About the Role We are seeking an experienced and visionary Senior Software Engineer - AI/ML with 8-10 years of strong…
Job Posting Title: Data Engineer II Req ID: 10162609 Job Description: Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and…
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