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Build and deploy enterprise-grade AI applications using .NET/C# and Microsoft Azure, integrating LLMs, RAG, and agentic workflows into production systems.
Build AI-powered automation and copilots using Microsoft Copilot Studio, Azure AI, and Python to streamline processes in a higher-education setting.
Build and ship production AI systems for portfolio companies, owning full-stack development from architecture to deployment.
Early-career role on AWS’s AI team helping customers adopt cloud-based AI/ML services like SageMaker and LLMs by translating technical capabilities into business value.
Amazon Web Services is seeking a Generative AI Learning Solutions Architect to support our Global Government customers. Are you excited to help Government customers to leverage generative AI in their missions? Eager to…
Build AI-driven airline retailing software to optimize offers and revenue for airlines using machine learning and enterprise productivity tools.
Lead the team behind T-Mobile’s enterprise GenAI platforms, AI coding tools, and self-service chat agents for IT/HR support, ensuring reliability, cost control, and a seamless user experience.
Lead enterprise GenAI strategy, architect scalable AI systems, and advise C-suite on tech stacks, trade-offs, and ROI for large client engagements.
Build and ship production-grade agentic AI systems that automate financial workflows and power LLM features for customers, using Python, Go, and cloud-native stacks.
Lead complex AI-driven technology programs for JPMorganChase, coordinating cross-functional teams to deliver cloud and data-center solutions while using enterprise AI tools to streamline project planning and risk management.
Lead AI/ML strategy and build production systems for payments Trust & Safety at JPMorganChase, using NLP, vision, graph networks, and classical ML in Python and PyTorch/TensorFlow.
Lead a team building AI-powered cloud systems at JPMorganChase, integrating LLMs, RAG pipelines, and agentic workflows while leveraging AI coding assistants daily.
Build and test AI-powered prototypes and integrations in Python/C# to enhance products and workflows, focusing on LLMs, RAG, and prompt engineering.
Lead a team of NLP engineers to build LLM assistants, intelligent search, and document processing for a top-5 Russian bank using fine-tuning, RAG, and vector databases.
Build and deploy LLM-powered applications for federal clients, implementing RAG pipelines, prompt engineering, and production AI infrastructure using Python, FastAPI, and cloud services.
Build and integrate AI features into production systems using LLMs, agent orchestration, RAG, and knowledge graphs, ensuring reliable, secure deployment in distributed environments.
Build and optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
Build and maintain RESTful APIs and backend services for ReliaSoft Desktop and Cloud, enabling enterprise integrations and future AI/LLM features.
Build and improve AI-enabled workflows, test emerging tools, and develop solutions to boost productivity for a leading Asian research consultancy.
Build and lead an AI-driven QA automation framework for critical Rates pricing systems, using tools like Copilot and Devin to improve code quality and testability in a large banking tech stack.
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