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Develops AI agents and automation tools for electronic design workflows, integrating LLMs, simulation engines, and EDA software using Python and modern AI/ML techniques.
Define the architecture for Cordant, an industrial software platform that connects edge devices, cloud, and AI to optimize operations for energy and manufacturing customers.
Full Stack AI Engineer at an InsurTech startup building and deploying GenAI/LLM solutions including RAG applications, AI agents, copilots, and intelligent document processing using Python, Azure, and various LLM frameworks.
Build and optimize enterprise-scale search for Caterpillar’s eCommerce platform using OpenSearch, vector search, and Amazon Bedrock GenAI to power product discovery and conversational shopping.
The Senior Machine Learning Engineer will design and build production-grade Intelligent Document Processing (IDP) and AI systems using Python, NLP, OCR, and LLMs. The role involves managing the full AI lifecycle, from data ingestion and model integration to deployment and observability in cloud environments.
The AI Engineer will design, develop, and deploy AI-powered solutions, focusing on Generative AI, LLMs, and MLOps. The role involves building scalable applications using Python and integrating them into enterprise systems via APIs.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable.…
Builds AI-driven data products and semantic models to improve process intelligence and governance at a large bank, using Python, SQL, and GenAI techniques.
Architect and build production-grade GenAI systems including RAG pipelines, LLM integrations, and agentic applications using Python, FastAPI, vector databases, and cloud platforms (AWS/Azure) at a data analytics scale-up.
Senior AI Engineer doing full-stack development of cloud-based, AI-enabled enterprise applications on Azure, integrating GenAI/LLM features (RAG, prompt engineering) into business workflows using Python and React.
Lead the design and productionization of AI/ML capabilities—including generative AI, forecasting, and recommendation systems—building data pipelines and production platforms using Python, SQL, Snowflake/Databricks, and Azure.
Build and lead AI systems for legal, tax, and compliance domains using LLMs, RAG, and agentic architectures, setting technical standards and driving innovation at a global scale.
Lead Digital Product Manager owning the strategy, roadmap, and governance for an enterprise knowledge platform that powers AI agent marketing workflows via RAG, automated ingestion, and retrieval capabilities at Wells Fargo.
AI Architect leading Agentic AI/GenAI initiatives at Dell, owning the full AI/ML lifecycle from prototype to deployment, designing autonomous multi-agent systems, and transforming customer support. Core technologies include Python, LLMs, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure).
Design and operate production PostgreSQL clusters at scale for Dell's Database Platform, building self-healing infrastructure and automation using PostgreSQL, Kubernetes, Ansible, and Python.
AI Engineer Intern supporting the development of LLM-powered applications, RAG solutions, and chatbots using Python and AI frameworks like LangChain at a financial services software company.
The Consulting Data Architect designs and delivers Microsoft Fabric and Generative AI solutions for clients, acting as a technical advisor to lead implementation and strategy. The role involves building data architectures, AI-enabled patterns, and proofs of concept while ensuring robust data governance and security.
The AI Architect leads the design and delivery of enterprise-scale AI, Generative AI, and Agentic AI solutions on the Azure platform. This role involves defining AI roadmaps, architecting intelligent systems, and guiding multidisciplinary teams to drive business value for clients.
Junior AI/ML engineer developing and deploying ML/DL models, NLP/RAG applications, and LLM solutions for financial institutions using Python, SQL, and MLOps.
The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions, including Generative AI and LLM-based applications. The role involves building MLOps pipelines, integrating AI into enterprise systems, and collaborating with cross-functional teams to drive business value.
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