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Build and maintain data models and AI-driven analytics for mortgage lending, using cloud platforms and MLOps to deliver predictive insights and generative-AI solutions.
Builds and maintains AI-powered backend services for a large bank, integrating LLMs, RAG, and agentic frameworks with enterprise systems using Java, Python, and cloud-native tools.
Build AI-powered security tools in Python that automate threat detection, alert triage, and reporting, integrating with Okta, SentinelOne, and cloud services.
Builds autonomous AI agents and multi-agent systems using LangGraph/LangChain to automate workflows, integrating LLMs and APIs for real-world actions.
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it…
Build and maintain automated test frameworks for Palo Alto’s Next-Generation Firewall, using Python and AI-driven tools to validate performance, detect flaky tests, and accelerate root-cause analysis.
About Morningstar Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual…
Build AI-powered automation tools to streamline Arm’s hardware design and verification workflows, integrating EDA tools and AI models like OpenAI Codex to cut cycle time and debug effort.
Build and maintain enterprise-grade full stack apps with React/TypeScript and Java/Spring Boot, deploy on Azure, and integrate AI tools like GitHub Copilot and Azure OpenAI.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Leads AI and data-science projects for clients, building GenAI/Agentic AI and analytics solutions with Python, cloud platforms, and modern ML techniques.
Build and deploy enterprise AI solutions—LLMs, RAG, and agentic systems—using Python and Azure to improve customer outcomes and operational efficiency in a regulated financial services environment.
Designs enterprise GenAI solutions using GPT-4o, Azure OpenAI, and Codex, including RAG and agentic patterns, while leading EXL–OpenAI go-to-market efforts in India.
Build production-grade GenAI systems using Azure OpenAI APIs, Assistants API, and Codex to prototype voice workflows and demo libraries for claims automation, compliance, and developer productivity.
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.
Build and scale AI-powered data pipelines that turn messy environmental data into clean, business-ready outputs using LLMs, vector search, and Python.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Build and deploy AI-powered applications and data pipelines under mentorship, working with cloud platforms, Python, and modern AI frameworks to solve business challenges.
Build internal tools, marketing automation, AI workflows, and tracking systems for a marketing agency using Next.js, React, Python, and AI APIs to improve campaign performance and revenue.
Build and deploy practical AI-powered applications, agents, and systems using LLMs, agentic frameworks, and modern AI tools to solve real business problems.
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