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Lead enterprise red team and AI adversarial testing programs at MUFG, executing advanced attack simulations across network, cloud, and AI/LLM environments while mentoring operators and translating findings into risk-reduction actions.
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AI Software Engineer at AT&T designing, building, and maintaining data-driven solutions spanning systems integration, data pipelines, AI/ML enablement, and dashboards using Python/Java/C#/JS, SQL, APIs, and BI tools.
The Principal Architect leads the technical design and implementation of Google Cloud-based customer engagement solutions, integrating AI technologies like Gemini, Dialogflow CX, and CCaaS into enterprise environments. This role involves consultative sales support, conversational AI architecture, and bridging complex telephony and CRM systems to improve customer experience.
The Senior AI Engineer will build and maintain agentic AI workflows and RAG pipelines, integrating them with RPA systems to automate enterprise processes. The role requires strong Python skills and experience deploying production-ready AI solutions using frameworks like LangChain and various LLM APIs.
Design, build, and deploy AI-driven services and agentic workflows for a mortgage lender, using Python, TypeScript/React, SQL, and Anthropic's Claude API/SDK, with DevOps ownership including Docker and cloud deployment.
The Senior Staff AI/ML Engineer will lead the architecture and operational strategy for Abbott's medical device AI platforms, bridging data science and production engineering. The role focuses on building scalable MLOps infrastructure, ensuring regulatory compliance, and mentoring teams to deploy clinical-grade AI solutions.
The AI Engineer will design and deploy scalable Generative AI, Agentic AI, and machine learning solutions for the healthcare and life sciences industry. The role involves building production-grade AI applications, managing MLOps pipelines, and collaborating with stakeholders to solve complex medical and commercial data challenges.
The Forward-deployed AI Engineer embeds with internal teams to identify operational challenges and build, deploy, and maintain AI-enabled solutions using LLMs, RAG, and Azure AI technologies. This role bridges the gap between business needs and technical implementation to improve healthcare outcomes and administrative efficiency.
Leads full-stack development for a fintech fund accounting platform, designing scalable microservices, REST APIs, and modern frontend apps while driving DevOps, observability, and AI integration.
Build and deploy ML models for personalization, recommendations, and ranking at The Washington Post, using Python, PyTorch/TensorFlow/JAX, and large-scale behavioral data to power intelligent reader discovery experiences.
Senior full-stack engineer designing and building enterprise healthcare software with Python, TypeScript, React, PostgreSQL, and GKE, including leading LLM integration into production applications at CVS Health in Galway.
Key Responsibilities Gain exposure to how large companies manage data across different areas like engineering, supply chain, finance, and manufacturing. Learn how data is used to support decision‑making, dashboards,…
Senior Product Manager for Applied AI at Smartsheet, owning the roadmap for specialized AI agents and evaluation infrastructure, shipping complex agent capabilities end-to-end, and defining standards for building agents. Core technologies include AI/ML concepts, agent architectures, RAG, and prompt engineering.
Senior Data & AI Engineer designs and delivers AI-powered solutions for client projects and internal products, combining practical AI implementation, data engineering, and scale-up software delivery in a collaborative environment working with finance and investment stakeholders.
As a Senior Data & AI Engineer, you build AI-powered solutions (using LLMs, RAG) for client projects and proprietary products at a financial services consultancy, focusing on practical AI implementation like prompt engineering and reliability improvements, while collaborating with stakeholders to solve complex business problems.
Remote Senior Developer designing and implementing generative AI solutions using LLMs, Python, LangChain, and RAG architectures to build AI-powered applications.
An AI Engineer at Tractian develops and optimizes large language model (LLM) applications and backend systems, collaborating with cross-functional teams to ensure project success and efficient deployment.
Builds and maintains AI-driven agent systems that autonomously debug, review code, and manage infrastructure for Vercel’s platform, using TypeScript and modern AI/ML tooling.
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