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Designs and deploys AI-powered automations to replace manual workflows across Later’s teams, using LLMs, APIs, and scripting to deliver measurable business impact.
Build and deploy machine learning models for search, AI features, and data pipelines at a collaborative design platform, using Python and ML libraries.
J.P. Morgan is seeking a talented candidate as a Solutions Enablement & Client Enablement Lead in the Commercial & Investment Bank (CIB). This Vice President role sits within the AI Enablement team within the…
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 and deploy Generative AI applications using LLMs, RAG pipelines, and vector databases, from prototyping to cloud deployment on Azure/AWS.
Build and deploy production-grade AI and GenAI solutions for banking products, using Python, TensorFlow/PyTorch, and cloud-native tooling.
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 production-grade AI and cloud solutions for aerospace engineering teams, including LLM apps, ML models, and APIs, from architecture to deployment.
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Build and deploy production-grade Generative AI and Agentic AI systems on Microsoft Azure, designing multi-step agent workflows and RAG pipelines to solve complex financial-services challenges.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Deploys and optimizes AI-driven drug-discovery workflows for clients, building LLM/RAG systems and data pipelines in live research environments.
Build production-grade generative AI and RAG systems using Python, LlamaIndex, and LangChain to power customer-facing SaaS products with measurable business impact.
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.
Build and deploy Claude-powered demos and production solutions using Python, LangChain, RAG, and AWS, while maintaining EXL’s demo library and agentic workflows.
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 deploy AI solutions for national programmes, mentor apprentices, and lead end-to-end ML projects using LLMs, MLOps, and cloud platforms.
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental…
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