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Zilliz is a fast-growing startup developing the industry’s leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world’s most popular open-source vector database , the company…
Builds and deploys AI agents and digital workers using LLMs, RAG, and enterprise tools to automate workflows and improve productivity in real-world business environments.
Build full-stack healthcare apps with Angular frontends and Node.js backends, integrating MongoDB, Elasticsearch, and Milvus for data pipelines and AI features.
This Senior Machine Learning Engineer role in the Healthcare & Life Sciences unit involves leading end-to-end AI/ML project delivery, including hands-on development of RAG pipelines, agentic workflows, and MLOps systems. The position requires deep expertise in Python, PyTorch/TensorFlow, and modern AI frameworks to build scalable, production-grade solutions.
The Lead AI Engineer will architect and deliver enterprise-scale AI solutions, including intelligent agents and LLM-powered applications, to support drug discovery and clinical research. This role involves leading a team of engineers, managing AI platform infrastructure, and collaborating with cross-functional stakeholders using Python and modern AI frameworks.
Designs and deploys enterprise-grade AI solutions for a financial institution, focusing on LLM engineering, RAG pipelines, and AI-driven automation using Python, LangChain, and vector databases.
Senior AI Engineer building Agentic AI use cases for Trading Surveillance, involving full-stack Python apps, RAG systems, vector databases, data pipelines, and multi-cloud AI infrastructure.
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 application window is expected to close on: 09/28/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Cisco's Webex…
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…
Lead AI Engineer designing and operationalizing next-gen agentic AI systems for a financial institution, focusing on LLM architectures, RAG pipelines, and SRE for secure, compliant banking automation.
The AI Engineer will design, develop, and deploy production-grade Agentic AI and Generative AI systems for BMO Capital Markets. The role focuses on building scalable AI platforms, LLM-based applications, and orchestration frameworks to support investment banking and global markets.
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.
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.
This GenAI Engineer role focuses on designing and implementing RAG pipelines and agentic AI solutions for banking clients using the Azure AI stack and Python-based frameworks. The position requires building secure, compliant, and traceable AI systems with a strong emphasis on guardrails, vector databases, and model evaluation.
The AI Solutions Architect will lead the design and implementation of end-to-end AI/ML and RAG systems for banking clients, ensuring compliance with regulatory standards. The role involves defining technical architecture across Microsoft Azure and open-source stacks while mentoring a team and establishing engineering guardrails.
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
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