
10,000+ employees
Founded 1984
💼 Consulting
🏥 Healthcare
📚 Education
💰 Post-IPO Equity on 2015-07
Consulting • Healthcare • Education
CDW is a leading provider of technology solutions, offering a comprehensive range of products and services to address the needs of enterprises, government, healthcare, and education sectors. They specialize in providing IT infrastructure services, managed services, and security solutions. CDW partners with top technology brands to deliver customized solutions that enhance business productivity and performance across various industries. With a strong focus on digital transformation, security, and cloud solutions, CDW supports businesses in navigating the complexities of modern IT environments. Their expertise spans several domains, including digital workspaces, cybersecurity, and enterprise solutions, making CDW a key partner in driving technological advancements.
🔥 0 minutes ago
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10,000+ employees
Founded 1984
💼 Consulting
🏥 Healthcare
📚 Education
💰 Post-IPO Equity on 2015-07
Consulting • Healthcare • Education
CDW is a leading provider of technology solutions, offering a comprehensive range of products and services to address the needs of enterprises, government, healthcare, and education sectors. They specialize in providing IT infrastructure services, managed services, and security solutions. CDW partners with top technology brands to deliver customized solutions that enhance business productivity and performance across various industries. With a strong focus on digital transformation, security, and cloud solutions, CDW supports businesses in navigating the complexities of modern IT environments. Their expertise spans several domains, including digital workspaces, cybersecurity, and enterprise solutions, making CDW a key partner in driving technological advancements.
• Lead the design and development of full-stack web applications using React.js and Node.js • Design and implement GenAI/LLM-powered applications using RAG and agentic AI approaches • Develop and optimize RAG pipelines for enterprise use cases • Build LLM workflows and AI agents using LangChain and LangGraph • Integrate LLMs with enterprise applications, APIs, databases, and external services • Design RESTful APIs and backend services using Node.js • Develop responsive and scalable front-end applications using React.js • Work with vector databases, embeddings, document processing, and semantic search • Implement prompt engineering, context management, evaluation, and optimization of LLM applications • Design multi-step AI workflows, tool calling, agent orchestration, and state management using LangGraph • Ensure AI solutions are scalable, secure, reliable, and production-ready • Collaborate with architects and technical teams to define application and AI solution architecture • Conduct code reviews, establish development best practices, and mentor junior developers • Troubleshoot application and AI/LLM-related performance and production issues • Act as a technical lead for full-stack and AI development initiatives • Translate business requirements into scalable technical solutions • Drive architecture, design decisions, code quality, and engineering standards • Take ownership of deliverables from design through development, deployment, and production support
• 7–12 years of software development experience • Strong hands-on experience in React.js and modern front-end development • Strong experience in Node.js and backend/API development • Hands-on experience building Generative AI / LLM applications • Strong understanding of RAG architecture and implementation • Hands-on experience with LangChain • Hands-on experience with LangGraph and agentic workflows • Experience with LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or similar • Strong knowledge of Python or JavaScript/TypeScript • Experience with REST APIs, microservices, databases, and third-party integrations • Good understanding of vector databases, embeddings, chunking, retrieval, and semantic search • Strong understanding of software design principles, architecture, and development best practices
• Collaborative and supportive work environment • Growth and learning opportunities • Mentorship and technical guidance • Equal opportunity employment
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