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The GenAI Python Systems Engineer designs and develops scalable AI and machine learning solutions for clients using Python and Scikit-Learn. This role involves building data pipelines, conducting complex data analysis, and collaborating with teams to deliver AI-driven automation.
Senior AI Engineer doing full-stack development of cloud-based, AI-enabled enterprise applications on Azure, integrating GenAI/LLM features (RAG, prompt engineering) into business workflows using Python and React.
Principal AI Product Manager owning AI-enabled products for Corporate and Commercial Banking, from discovery through governed release and adoption, working with LLMs, AI agents, and workflow automations.
Build and maintain evaluation infrastructure and cost-engineering systems for Velixo Intelligence, an MCP-based AI gateway that lets finance teams query ERPs in natural language. Core tech: LLM APIs, Python/TypeScript, eval frameworks (promptfoo), observability (Langfuse).
AI Engineer Intern supporting the development of LLM-powered applications, RAG solutions, and chatbots using Python and AI frameworks like LangChain at a financial services software company.
Designs and deploys enterprise AI/ML solutions (Generative AI, LLMs, RAG) on AWS, focusing on scalable, production-grade architectures and MLOps/LLMOps pipelines for Unum’s income protection business.
The Application Software Engineer will design, build, and deploy AI-powered tools and agentic systems to support legal case management and litigation workflows. The role requires a strong full-stack foundation and experience using AI-assisted development tools to ship production-ready software.
Lead the design and delivery of production-grade Generative AI and LLM platforms at HPE, covering architecture, fine-tuning, RAG, and multi-tenant distributed systems using Python, Golang, AWS, and frameworks like LangChain and PyTorch.
Lead a multidisciplinary engineering team building secure, scalable enterprise products powered by Generative AI and LLMs, using React, AWS, Kubernetes, and advanced networking protocols.
Designs and executes test strategies for HPE’s generative AI and enterprise web platforms, validating React UIs, APIs, cloud deployments, and AI model quality with Python and pytest frameworks.
The Senior Quality Engineer will define and execute quality strategies for generative AI, enterprise web platforms, and cloud infrastructure. The role involves building automated testing frameworks, validating AI model performance, and ensuring system resilience in a hybrid work environment.
Lead a team building secure, scalable enterprise products powered by Generative AI and LLMs, including React-based UIs, AWS cloud, and networking, while managing delivery, quality, and cross-functional alignment.
Principal Engineer at HPE architecting and building production-grade Generative AI and LLM platforms using Python, Golang, AWS, and AI/ML frameworks like LangChain and PyTorch in a hybrid role in San Juan, Puerto Rico.
The Lead AI Engineer will design, build, and scale production-grade AI and Generative AI solutions within the insurance platform using AWS services. This hands-on role focuses on operationalizing AI models, developing RAG pipelines, and implementing MLOps practices in a regulated environment.
Research scientist driving applied AI and Generative AI initiatives—foundation models, NLP, large-scale GPU model training—within CIBC's Advanced Analytics and AI team in Toronto.
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and…
Design and implement intelligent process automation solutions for marine engineering workflows, leveraging RPA, machine learning, Power Platform, and Power BI to drive digital transformation.
PhD researcher (EDB-IPP programme) focused on LLM model compression and acceleration—developing quantization, pruning, knowledge distillation, and inference optimization techniques using PyTorch for large language, multimodal, and diffusion models.
AI Engineer building end-to-end AI-enabled solutions for Capital Markets, leveraging Agentic AI platforms (DIFY, Google ADK, LangStack), prompt engineering, and containerized DevOps environments.
Role Overview We are seeking a Full Stack Applied AI Engineer to build and deliver production grade, AI powered applications. This role focuses on applied and agentic AI, integrating LLMs into real-world full stack…
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