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Principal Platform Engineer at ISS STOXX designing and operating multi-cloud platforms across GCP and AWS, building landing zone capabilities, CI/CD tooling, and platform services to enable AI transformation at enterprise scale.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
Build end-to-end AI product features for a SaaS platform, integrating LLMs and AI agents using Python/TypeScript, React, and cloud services like Azure/AWS.
The Applied AI Engineer will design, build, and productionise AI-powered features within a C# .NET platform. The role focuses on integrating LLMs, RAG pipelines, and vector search into scalable, customer-facing software.
Automation Engineer (SDET) building and maintaining test automation frameworks and scripts for Windows desktop applications using C#, UFT, SilkTest, and Silk Central.
Evaluate English-Malay and Malay-English search result relevance for social media platforms by reading queries, assessing content match, and assigning 0–3 scores based on predefined guidelines.
The Staff Software Engineer will design and build autonomous AI agents using frameworks like LangChain and AutoGen to transform enterprise workflows. The role involves integrating these agents with cloud systems and optimizing them for performance and scalability using Go, Rust, or Python.
Develops AI-driven automation tools and data pipelines using Python/SQL to enhance developer productivity and reporting systems for a global financial services firm.
The Principal Generative AI Engineer will lead the design and deployment of LLM-based automation and intelligent operations platforms within Citi's Consumer Operations Technology division. The role focuses on architecting RAG pipelines, implementing AI governance frameworks, and ensuring production-grade reliability for financial services applications.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
Lead the design of secure, governed AI systems for GenAI and agentic platforms, embedding Responsible AI principles into production architectures and assurance frameworks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
This Machine Learning Engineer role at an AI startup focuses on building and maintaining infrastructure for training, deploying, and scaling AI models. The engineer will develop data pipelines, monitoring frameworks, and optimize systems for performance and reliability.
Senior IT Project Manager leading AI/ML/GenAI solution delivery for the FBI at Quantico, VA—driving architecture, POCs, and production deployments using LLMs, RAG, vector databases, and cloud AI platforms (Azure, AWS, Google) with Agile/Scrum practices.
Lead a team building cloud services and APIs for Amazon’s satellite internet network, Leo, focusing on low-latency analytics and AI-driven decision-making across globally distributed systems.
The AI Interaction Engineer will lead the strategy and design of prompt patterns, agentic workflows, and LLM-based application architectures. This role focuses on building reusable design patterns, evaluation frameworks, and developer tooling for LLM-powered products.
Architect and maintain enterprise-scale data platforms powering vector search, RAG, LLM, and Agentic AI for DoD and Intelligence Community clients, leading cross-functional technical decisions across infrastructure, cybersecurity, and mission teams using Python, SQL, and major cloud platforms.
Leads product strategy and execution for Support Copilot, an AI-powered assistant for technical support engineers and customers, integrating AI workflows into case-management systems and optimizing AI performance through user feedback and data-driven improvements.
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