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The Senior Associate Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams using Python, PyTorch, and cloud-based AI platforms.
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.
Hands-on AI/ML Senior Specialist in Cyncly's Kochi AI CoE, building and fine-tuning on-premises LLMs, RAG pipelines, embeddings infrastructure, and vector search across product use cases using Python, Hugging Face, vector databases, and Kubernetes.
Senior Security Engineer building autonomous AI agents that protect Procore's cloud platform—designing agentic IAM, self-healing infrastructure, and AI-driven SDLC pipelines using LLM orchestration, AWS, Kubernetes, and Python/Go.
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.
At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create more inclusive, user-centric…
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.
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.
We are looking for an AI / ML Engineer who will design, build, and deploy AI-driven solutions for real-world business use cases. The role focuses on applying existing AI models and tools, integrating them into…
About Kindsight Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest…
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.
This role involves building machine learning models, NLP tasks, and chatbot applications using Python, SQL, and Google Cloud's Vertex AI and Gemini. The data scientist will work on RAG applications and vector databases in a lean environment.
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.
Design, build, deploy, and scale production-grade AI/ML and GenAI solutions for Manulife's Long-Term Care program using Python, Azure, Databricks, MLOps/LLMOps frameworks, and LLMs.
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