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Build AI agents, RAG/vector search, and platform integrations to automate workflows and enhance ETP Hub with AI-enabled tools for document search, summarization, and task assistance.
Build and maintain Paychex’s HCM platform using .NET/C# and React, running services on Azure while ensuring security and reliability for payroll and HR data.
Build and enhance TikTok’s in-house data analytics platform (Aeolus) with AI-powered features like natural language querying, LLM agents, and automated insights to help users explore and analyze billions of rows of data efficiently.
Lead a team building Python-based GenAI applications for financial-sector clients, designing scalable AI systems, RAG pipelines, and agentic workflows using LLM orchestration tools like LangChain.
Lead AI Engineer builds and deploys production LLM apps, designs reasoning agents, and integrates AI with cloud infrastructure and enterprise systems using Python and AWS.
Build and deploy production-grade ML and generative AI models on AWS for fraud, identity, and decisioning products, collaborating with data scientists and engineers to productize solutions.
Design and build AI-powered applications and system infrastructure, including data pipelines and AI model integration, using Python, JavaScript, and DevOps tools.
Designs, builds, and deploys generative AI solutions using large language models on Microsoft Azure, focusing on cloud-native architectures and prompt engineering.
Build production-grade AI apps using LLMs, RAG, agentic workflows, and multimodal tech; own backend services, cloud deployment, and continuous optimization for Swiss enterprises.
Build and deploy AI-powered applications using Python/TypeScript, focusing on practical solutions with LLMs, RAG, or fine-tuning as needed.
Develops and maintains cloud-based AI agents and RAG pipelines on Azure, mentors engineers, and ensures production stability for healthcare diagnostic platforms.
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…
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 AI-driven features using LLMs, RAG, and Agentic AI to enhance Workday’s HR/finance products, deploying scalable ML models and APIs with Python.
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.
Build and deploy AI agents for fintech workflows (risk, fraud, payments) and the platform that powers them, including orchestration, tooling, and safety guardrails.
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