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Build and maintain full-stack applications with AI capabilities, using modern AI tools and LLMs to prototype, deploy, and secure enterprise software for mortgage-related workflows.
Build and architect agentic AI systems (RAG, tool-calling agents) in .NET/C# and Python, then enable WellSky’s engineering teams to adopt them via shared libraries, training, and CI/CD tooling.
Build and deploy AI-powered applications (LLMs, agents, RAG) using Databricks and modern frameworks to automate workflows and enhance decision-making across SEGA’s games business.
Senior AI Engineer builds and deploys scalable machine-learning and LLM-powered solutions to transform products and operations, focusing on generative AI, retrieval-augmented generation, and cloud platforms.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Lead a team building AI-driven automation to detect and fix cloud security misconfigurations across AWS, Azure, and GCP, integrating agentic workflows into developer pipelines.
Design and build scalable AI platforms for healthcare, focusing on LLMs, RAG, multi-agent systems, and model routing to improve clinical decision-making and patient care.
Role Summary We are seeking an experienced Assistant Vice President (AVP) Software Engineering Lead to join the COMPASS transformation program. The successful candidate will lead the design, development, and…
Build and architect AI-powered integration and migration tools for a global bank, using LLMs, agents, RAG, and cloud services to modernize legacy systems and scale reusable components.
Build and scale enterprise-grade full-stack apps using React, Node.js, and cloud services, integrating AI features like copilots and RAG while ensuring performance and security.
Design and lead enterprise generative AI systems using agentic architectures, RAG pipelines, and cloud-native tooling to deliver scalable, secure AI solutions for PwC clients.
Key Responsibilities 1. Agentic Solution Architecture & Design Authority Lead discovery and solutioning with stakeholders; translate business objectives into target-state agentic AI architectures, blueprints, and…
Build and deploy enterprise-grade generative AI systems (LLMs, RAG, agents) for Citi’s operations, integrating models like GPT-5 and Claude into Python services and APIs.
Build and ship production-grade AI agents using C#/.NET, React, and Azure OpenAI, spanning UI, orchestration, and evaluations.
Builds and improves AI-driven tools that analyze open-source software components to detect vulnerabilities and optimize supply-chain decisions.
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Build and deploy generative-AI solutions using LLMs, RAG, and AI agents in Python on AWS, integrating with enterprise systems for a U.S. client.
Design and demo AI-powered developer tools and cloud-native apps for enterprise customers, guiding them through secure, scalable AI adoption and modernizing their workflows with Microsoft’s AI stack.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
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