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Our client is a fast-growing AI-driven fintech company building next-generation digital products for the financial services industry. They leverage machine learning and modern cloud technologies to deliver highly…
Build core backend and full-stack services for an AI risk underwriting platform using Python, Node.js, Next.js, and Postgres to power insurance products for generative AI deployments.
Build internal AI applications using Python and cloud (AWS/Azure) to automate workflows and support decision-making in a regulated environment.
Build and optimize AI software components for Intel’s products, working with machine learning frameworks and hardware acceleration.
Lead research and development of autonomous AI agents to transform banking operations using cutting-edge agentic AI and frontier models.
Design, build, and maintain scalable data and AI platforms for William Blair’s Equities business, spanning Trading, Research, and Sales, from concept to production.
Build AI systems and agentic experiences like Perplexity Computer and Agent API using backend, full-stack, and ML engineering.
Own AI use cases end-to-end for JPMorgan Chase, designing and building production-grade agentic systems to solve banking productivity challenges.
Build AI-powered full-stack apps with .NET Core and React, using AI tools to analyze requirements, generate code, and deliver production features like conversational assistants and RAG systems.
Designs and refines AI prompts for customer-service chatbots and virtual assistants used in contact centers across multiple industries.
Builds and optimizes Retrieval-Augmented Generation (RAG) systems to enhance AI-driven customer experience solutions for outsourced business services, leveraging NLP, LLMs, and data retrieval pipelines.
AI Engineer Intern at the World Bank Group building and applying machine learning models to support global development initiatives.
Design, build, and deploy end-to-end AI/ML solutions for client projects, collaborating with teams and stakeholders while mentoring junior engineers.
Build and deploy AI agents and applied AI systems to automate claims processing and improve customer outcomes in the insurance industry.
Designs and implements AI solutions for clients using Salesforce clouds like Agentforce and Data Cloud, focusing on digital transformation and customer engagement.
Principal Applied AI Engineer at Microsoft leading architecture and design for AI-native Dynamics 365 Sales and Service solutions, enabling intelligent customer service operations.
Designs and refines AI prompts for customer-experience and BPO workflows, integrating them into cloud-based contact-center and XaaS platforms.
Build and deploy generative AI models to enhance customer experience and automate business processes for MCI's outsourcing and cloud technology solutions.
Build and maintain shared AI capabilities that other engineering teams integrate into secure, scalable products and workflows.
Senior AI Engineer to build enterprise-grade AI solutions for NetJets and its portfolio companies, focusing on transformative applications.
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