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Lead the design and development of ServiceNow solutions enhanced with AI agents, Graph RAG, and LangChain to automate workflows and improve user experiences using Python and JavaScript.
Lead a team building AI-driven services and platform capabilities, designing scalable cloud-native systems and agentic workflows using Python and GCP.
Lead the design and delivery of AI-driven services and platform capabilities, partnering with teams to build secure, scalable agentic systems in a cloud-native environment.
Senior Penetration Tester at Rakuten Mobile Security Assurance performs manual and automated security testing on telecom, cloud-native, AI/ML systems, and APIs to identify vulnerabilities and protect Rakuten’s advanced telecom network and services.
Principal Software Engineer builds and scales AI-powered .NET and React applications, integrating LLMs and RAG systems while leading full-stack development and mentoring teams.
Modernizes enterprise Java applications on AWS and builds GenAI agents using Vertex AI and Google ADK for development, testing, and automation.
Build and maintain cloud-native AI infrastructure on AWS and Azure, deploying and operating AI services, Kubernetes workloads, and MLOps tooling in a regulated banking environment.
Leads full-stack AI development, integrating LLMs, vector databases, and RAG architectures into production systems with Python, PostgreSQL, and cloud/AWS infrastructure.
Develops AI/ML solutions for government clients, focusing on LLM-driven systems, full-stack engineering, and DevSecOps pipelines to modernize digital engineering capabilities.
Lead the design and development of scalable, AI-driven backend services using Python (FastAPI) and ReactJS frontends, with PostgreSQL and GCP/AWS cloud deployments.
A Technical Program Manager bridges engineering and product teams to execute AI-driven initiatives, focusing on technical trade-offs, integration, and program outcomes. They ensure scalable, reliable, and observable solutions while aligning stakeholders across complex, matrixed teams.
Designs and optimizes GPU-powered infrastructure for GenAI/LLM workloads, focusing on distributed training, performance tuning, and Kubernetes/OpenShift deployments.
Designs and deploys advanced AI/ML models (4-7 years exp) using Agentic AI frameworks like LangChain, AWS Bedrock, and LLMs for business problem-solving, with a focus on RAG pipelines, prompt engineering, and secure AI agent workflows on AWS.
Summer 2026 internship for AI Engineers: Develop scalable AI systems, collaborate cross-functionally, and contribute to GEICO’s AI-first insurance initiatives, focusing on GenAI, AI Agents, and enterprise AI solutions.
An AI Engineer at AIEH develops AI solutions for industry partners while mentoring AI apprentices in Singapore’s AI ecosystem, bridging research and real-world applications.
The AI Engineer will design, develop, and deploy Generative AI solutions, including chatbots, copilots, and RAG-based applications using Azure, Python, and various AI frameworks. The role involves integrating AI services into enterprise applications and maintaining MLOps workflows.
Designs AI-driven conversational systems and architectures, focusing on LLM-based workflows, agent orchestration (e.g., LangGraph), and Azure AI tools to enable scalable, observable, and secure AI solutions for enterprise clients.
The Senior Deep Learning Engineer will design and build evaluation infrastructure for NVIDIA's frontier AI models, including LLMs and agentic systems. This role involves developing novel benchmarking methodologies and collaborating with research teams to guide model releases using large-scale GPU clusters.
The Senior Technical Program Manager will lead large-scale engineering programs for NVIDIA's DGX Cloud, focusing on AI capacity enablement, infrastructure bring-up, and cross-functional process management. The role involves managing roadmaps, driving execution across engineering teams, and communicating program status to executive leadership.
The Senior Staff Site Reliability Engineer will lead the architecture and development of NVIDIA's enterprise AI runtime platform, focusing on Kubernetes-based systems for deploying and scaling AI applications and databases. The role involves building control-plane services, optimizing GPU scheduling, and establishing standards for high-performance AI inference infrastructure.
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