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Lead Consultant

Job in New York, New York City, Richmond County, New York, USA
Listing for: CDW
Full Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer, Software Architect
Salary/Wage Range or Industry Benchmark: 170000 - 210000 USD Yearly USD 170000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Lead Consultant-1
Location: New York

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed.

We’re proud to share our story and Make Amazing Happen at CDW.

Lead Consultant – Full Stack & AI Developer About the Role

We are looking for an experienced Lead Consultant – Full Stack & AI Developer to design, develop, and lead the implementation of modern full-stack applications powered by Generative AI and Large Language Models (LLMs).

The ideal candidate should have strong hands‑on experience in React, Node.js, RAG, LLMs, Lang Chain, and Lang Graph, along with a solid understanding of application architecture, APIs, cloud technologies, and AI engineering practices.

You will work closely with product managers, architects, and engineering teams to build scalable, secure, and enterprise‑ready applications leveraging AI.

Key Responsibilities
  • 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 Retrieval‑Augmented Generation (RAG) pipelines for enterprise use cases.
  • Build LLM workflows and AI agents using Lang Chain and Lang Graph.
  • 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 Lang Graph.
  • 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.
  • Stay current with emerging GenAI, LLM, AI Agent, and full‑stack development technologies.
Mandatory Skills
  • 7–12 years of software development experience with strong hands‑on development expertise.
  • Strong 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 (Retrieval‑Augmented Generation) architecture and implementation.
  • Hands‑on experience with Lang Chain.
  • Hands‑on experience with Lang Graph and agentic workflows.
  • Experience working with LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or similar.
  • Strong knowledge of Python or JavaScript/Type Script for AI application development.
  • 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.
Leadership Expectations
  • Act as a technical lead for full‑stack and AI development initiatives.
  • Translate business requirements into scalable technical solutions.
  • Provide technical guidance and mentorship to development teams.
  • Drive architecture, design decisions, code quality, and engineering standards.
  • Communicate effectively with technical and non‑technical stakeholders.
  • Take ownership of deliverables from design through development, deployment,…
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