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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.
Designs secure, scalable GenAI architectures for insurance, healthcare, and banking clients using the Claude API and agentic workflows, ensuring responsible-AI compliance and guiding delivery teams.
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.
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.
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Build and optimize AI applications using LLMs, RAG, and agent frameworks on a central AI platform, integrating them into production for logistics use cases.
Build and deploy practical AI-powered applications, agents, and systems using LLMs, agentic frameworks, and modern AI tools to solve real business problems.
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Senior Domain Architect designs and governs AI/GenAI architectures on Microsoft Azure, aligning enterprise standards and leading teams to deliver scalable, secure solutions using RAG, agentic systems, and LLMOps.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
Builds and scales AI-powered data platforms for vehicle engineering, using agentic workflows, LLMs, and distributed systems to monitor design processes, detect anomalies, and automate remediation for safety and quality.
Build AI-powered analytics systems that turn GM’s telematics, aftersales, and energy data into natural-language answers for business decisions, using Python, SQL, and cloud platforms.
Build and deploy AI agents and copilots that automate construction workflows, integrating predictive models and generative AI into tools used by project managers and superintendents.
Lead SRE initiatives to improve reliability and scalability of NVIDIA's AI-powered enterprise systems, using automation, observability, and AI-assisted incident response.
Lead AI product engineering for a healthcare insurer, building and shipping LLM-powered apps, agents, and RAG systems that integrate into claims, payments, and member workflows.
Lead the design and deployment of enterprise-scale AI agent systems at Caterpillar, focusing on agentic architectures, orchestration, and integration with cloud AI platforms.
Build and deploy enterprise GenAI tools and autonomous agent workflows to automate business processes across departments at Samsung Ads, using AWS Bedrock, Claude, and RAG pipelines.
Lead the end-to-end delivery of enterprise generative AI and agentic systems, architecting production-ready solutions using hosted foundation models, RAG, knowledge graphs, and multi-agent orchestration on AWS.
Build ZoomMate’s agent harness—runtime, orchestration, tool integration, memory, and evaluation layers—so product teams can embed AI agents with minimal integration cost.
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