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AI Engineer / Full-Stack Developer

Jobs via Dice

San Diego · On-site Full-time Senior Today

About the role

Job Summary

We are seeking an AI Engineer / Full-Stack Developer with strong experience in building AI-driven applications and full-stack systems. This role focuses on designing and developing a custom CRM platform enhanced with large language model (LLM) capabilities for intelligent automation and improved user interactions. The ideal candidate will have hands-on experience integrating LLMs into business applications and a solid understanding of CRM workflows.

Key Responsibilities

  • Design and develop a scalable CRM platform aligned with business requirements
  • Integrate LLM-based APIs (e.g., Claude or similar) to enable intelligent automation such as lead management, summarization, and email drafting
  • Build conversational interfaces for chat-based CRM interactions
  • Develop backend services and APIs using technologies such as Python or Node.js
  • Design and implement frontend applications using frameworks such as React, Angular, or Vue
  • Architect and manage databases using SQL and/or NoSQL technologies
  • Automate workflows including lead scoring, follow-ups, and reporting using AI capabilities
  • Ensure data security, privacy, and compliance standards are maintained
  • Optimize prompt engineering strategies and improve LLM performance
  • Collaborate with cross-functional teams to deliver scalable and maintainable solutions

Required Qualifications

  • 7+ years of overall experience with 34 years of relevant experience in AI/LLM-based development
  • Strong experience with large language models (LLMs), such as Claude or similar systems
  • Proficiency in backend development using Python or Node.js
  • Experience with REST APIs and microservices architecture
  • Hands-on experience with frontend frameworks such as React or Angular
  • Familiarity with CRM systems such as Salesforce, HubSpot, or custom-built platforms
  • Knowledge of prompt engineering and AI workflow orchestration
  • Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications

  • Experience building AI-powered SaaS applications
  • Understanding of sales pipelines and CRM domain workflows
  • Experience designing scalable, enterprise-grade applications
  • Familiarity with performance optimization and AI model tuning

Education

  • Bachelors Degree

Skills

AWSAngularAzureClaudeCRMGoogle Cloud PlatformJavaScriptLLMNode.jsNoSQLPythonReactREST APISQLVue

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