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Build and deploy production-grade AI agents and LLM services in Python on AWS, integrating RAG pipelines, prompt engineering, and guardrails for enterprise automation in Santa Clara.
Build and deploy LLM-powered systems to modernize large-scale data warehouses, automating SQL/Spark/Flink pipelines and validating transformations in production environments.
Your IT Future, Delivered AI Engineer (Python, GenAI) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating…
Build and harden AI agents that resolve customer tickets by planning actions, calling tools, and learning from production data in Python on Kubernetes.
An AI engineer who collaborates with business teams to identify workflow improvements, design AI-driven solutions (e.g., LLMs, RAG), and ensure deployment, adoption, and measurable business impact—bridging technical execution with stakeholder consulting.
Build, fine-tune, and deploy LLMs and generative AI models; develop NLP algorithms, vector databases, and conversational AI systems for production pipelines.
Build and maintain ML and GenAI models for financial clients using Python, prompt engineering, and predictive analytics to solve business problems.
Lydia AI - ORCA Lydia AI is building ORCA, an agentic AI platform that helps businesses research, analyze, and present complex information using AI-powered workflows. ORCA helps enterprises scale expert‑led work by…
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Design and deploy enterprise AI solutions, agents, and RAG workflows using Python, SQL, and cloud platforms like Vertex AI and Databricks to automate and enhance CN’s logistics operations.
Build and deploy scalable AI/ML systems, LLMs, and generative AI services for Amazon’s Customer Service, including pipelines, model serving, and governance.
Build production-ready GenAI systems using Python, React, and AWS, including LLM pipelines, RAG, and agent-based architectures for scalable AI products.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
The Customer Experience team is the connective tissue between Brex’s product and the companies that depend on it every day We don’t just resolve issues — we surface insights, close feedback loops, and help shape the…
Senior Data Scientist builds and deploys ML/AI models (including generative AI, RAG, and graph analytics) on Azure to detect fraud, optimize costs, and drive business insights for a large insurer.
Build and ship AI-native mobile growth experiments for Life360’s Android app using LLMs and agentic workflows, driving activation, conversion, and retention for 97.8M users.
Build and integrate GenAI features using OpenAI APIs to auto-generate audit-ready client summaries from structured data for financial-crime compliance, focusing on prompt engineering, backend integration, and responsible-AI guardrails.
Own AI features for an audit/accounting platform: define product requirements, build eval frameworks, and ship trusted AI that meets professional standards for 500k+ users.
Principal AI Engineer at Mastercard designing and building enterprise-scale AI platforms, cloud-native systems, and GenAI solutions to power secure, reliable AI applications across the company.
Lead Benevity’s AI/ML strategy, designing scalable GenAI systems, LLM-powered features, and MLOps pipelines to deliver measurable business value from model training to production monitoring.
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