Generative AI Engineer

Overview

Hybrid
$40 - $50
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

React
Node.js
Go
Python
LLM integration
LangChain
LangGraph
Crew AI

Job Details

Generative AI Engineer

Richardson, TX (Hybrid)

W2 Contract

We are seeking a highly skilled Full Stack Engineer with 8 10 years of experience in building scalable, intelligent web applications. The ideal candidate will have a strong background in full stack development using React, Node.js, Go, Pytho combined with hands-on experience in Generative AI and developing custom AI solutions using large language models (LLMs). Familiarity with LangChain, LangGraph, and modern DevOps practices is essential.

Key Responsibilities

  • Design, develop, and maintain full stack web applications using React, Node.js, Go, Python .
  • Build and integrate AI-driven features using LLM frameworks and tools such as LangChain, LangGraph, Crew AI
  • Develop pipelines and APIs for AI model integration, data processing, and inference.
  • Collaborate with AI researchers, product teams, and DevOps engineers to design scalable and efficient AI-enabled systems.
  • Implement CI/CD pipelines and manage containerized deployments using Docker and Kubernetes.
  • Optimize system performance and ensure reliability, security, and maintainability.
  • Mentor team members and contribute to the continuous improvement of engineering practices.

Required Skills and Qualifications

  • Bachelor s degree in Computer Science, Engineering, or a related field.
  • 8 10 years of software development experience in full stack technologies.
  • Proficiency in React.js, Node.js, and Go, Python
  • Hands-on experience with LLM integration, Generative AI applications, and frameworks like LangChain/ LangGraph, Crew AI.
  • Experience developing and deploying AI or ML-based features within production environments.
  • Strong understanding of RESTful APIs, microservices, and system design.
  • Working knowledge of Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with database systems such as PostgreSQL,.
  • Solid understanding of cloud platforms (AWS, ,Azure).
  • Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

  • Experience working with vector databases (Open Search, Knowledge Base).
  • Knowledge of AI frameworks such as PyTorch or TensorFlow.
  • Exposure to infrastructure-as-code tools like Terraform.
  • Understanding of application performance tuning and AI model optimization.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.