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Overview Quest Software is seeking an AI Software Engineer to help define and advance AI-first software development practices for a cloud-native SaaS product on the Microsoft Azure platform. This role is intended for…
Build scalable, production-grade enterprise AI solutions using Python, SQL, and LLMs (prompt engineering, fine-tuning, OpenAI API) for large enterprise clients.
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.
CommBank is building a Data Science & AI talent community for roles across Sydney, Melbourne, Adelaide, and Perth, where members build enterprise-grade AI and LLM solutions using tools like LangGraph and Semantic Kernel.
This role involves full-stack development for a property technology platform, focusing on building new features using React and .NET. The engineer will also design and implement AI-powered workflows, including chat interfaces and AI-assisted drafting, by integrating with LLM providers.
Lead AI/ML engineering at JPMorganChase, designing secure, scalable cloud-native systems and guiding teams to deliver trusted financial technology products.
This role involves building internal AI-enabled tools and workflows to automate and scale game content production. The engineer will own full-stack development, including backend services, APIs, and human-in-the-loop review systems using TypeScript, Node.js, and modern AI frameworks.
Principal Engineer builds AI-driven EDA workflows to automate ASIC physical design, using LLMs and agentic tools to reduce design cycles and improve timing/congestion outcomes.
Develops generative AI applications with deep expertise in AI/ML, focusing on building advanced models and solutions requiring at least 8 years of specialized experience.
Build and deploy generative AI applications using AI/ML frameworks and tools for an enterprise product team.
The AI/ML Engineer will design, develop, and deploy AI solutions, focusing on large language models (LLMs) and Retrieval-Augmented Generation (RAG) systems to support healthcare pharmacy and benefit services. The role involves collaborating with cross-functional teams to integrate AI capabilities and optimize model performance using Python and cloud-based ML platforms.
Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted,…
Senior AI Solutions Engineer designing, prototyping, and deploying LLM-based AI solutions integrated with enterprise systems, building data pipelines, and managing cloud (Azure/AWS/GCP) AI infrastructure using Python and MLOps practices.
This Director-level Java Backend Engineer role involves building scalable enterprise applications for Prime Brokerage and Institutional Equity teams using Java, Spring Boot, and agentic AI workflows. The position requires deep backend expertise and experience integrating LLMs and agentic frameworks into production systems.
Builds and deploys generative AI/autonomous agent systems (LLMs, GANs, RAG) to optimize Maersk’s supply chain processes, focusing on NLP, multimodal AI, and agentic architectures for real-world automation.
The AI Engineer will design, develop, and deploy intelligent systems, focusing on machine learning, deep learning, and generative AI models. The role involves building scalable AI pipelines, implementing agentic platforms, and ensuring model performance and compliance within the healthcare domain using AWS technologies.
The Full Stack AI Engineer will design and deploy enterprise-grade AI solutions, including RAG architectures and intelligent document processing, using LLMs and Azure cloud services. The role involves building scalable AI agents and pipelines while ensuring security, governance, and performance optimization.
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.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable GenAI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating AI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
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.
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