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Build production-grade agentic AI systems (MCP servers, RAG pipelines, multi-agent workflows) that integrate LLMs into enterprise workflows at a major bank.
Build production-grade agentic AI systems for RBC, including MCP servers, agent orchestration, and RAG pipelines that integrate LLMs with enterprise workflows.
Lead the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases using Python, AWS, and enterprise-authored AI tools.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Build and deploy enterprise-grade AI systems using LLMs, RAG, and Agentic AI frameworks to automate workflows and enhance customer experiences in banking.
Lead AI Engineer builds and scales enterprise Agentic AI platforms using LLMs, RAG, and MLOps on AWS, while mentoring teams and guiding client AI roadmaps.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the…
Builds and evaluates GenAI solutions (LLMs, RAG, agents) to enhance digital marketing products, automate workflows, and drive measurable business impact for a data-driven credit and fraud analytics company.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
Builds and deploys autonomous AI agent systems for government missions, focusing on agentic workflows, multi-agent collaboration, and cloud-native architectures using Python and modern AI frameworks.
Design and build the enterprise AI platform’s core architecture, reusable patterns, and agentic AI systems for New York Life’s insurance and financial services.
Build New York Life’s enterprise AI platform and agentic solutions, spanning cloud-native infrastructure, multi-agent orchestration, retrieval systems, and governance—using Python, GCP, and AI-assisted tools.
Build AI-driven tools to automate RTL front-end design flows using agentic frameworks like LangChain/CrewAI, reducing manual effort in synthesis, STA, and verification.
Designs and builds scalable, secure multi-tenant AI/ML platforms with LLMs and agent frameworks like AutoGen and LangChain.
Lead AI platform engineer designing and deploying enterprise Agentic AI solutions for Fortune 500 customers using LLMs, RAG pipelines, and Java/Python services.
Designs and deploys secure, scalable agentic AI systems (multi-agent architectures, RAG, tool orchestration) for enterprise clients, ensuring reliability, observability, and compliance with safety policies while driving measurable business impact.
Build and deploy enterprise-grade AI agent systems for Google Cloud customers, coding integrations, debugging production issues, and turning field insights into product improvements.
Company Overview ImmunityBio, Inc. (NASDAQ: IBRX) is a commercial-stage biotechnology company developing cell and immunotherapy products that are designed to help strengthen each patient’s natural immune system,…
Design and build AI systems using LLMs, agent frameworks, and RAG pipelines in Python/R, integrating with cloud services and deploying production-ready AI solutions.
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