Full Stack Developer - Python & GenAi

Overview

On Site
$62 - $65
Contract - W2
Contract - Independent

Skills

JJava
Python
GenAI
LLM
React
Angular (V8+)
OpenAI
AzureOpenAI
Cloud

Job Details

Job Title : Full Stack Developer Python & GenAi
Location: Charlotte, NC
Years: 10+ Years

Required Skills set: Java, Python, GenAI, LLM, React, Angular (V8+), OpenAI, AzureOpenAI, Cloud

About the Role
We are looking for a skilled Full Stack Developer with strong Python expertise and hands-on experience in Generative AI (GenAI) technologies. You will be part of a dynamic team building intelligent, scalable applications that leverage Large Language Models (LLMs) and modern web frameworks to transform enterprise workflows.

Key Responsibilities
Application Development: Build and maintain full-stack web applications integrating GenAI capabilities.
GenAI Integration: Work with APIs such as OpenAI, Azure OpenAI, Hugging Face, and LangChain to embed LLM-driven features.
Frontend Development: Develop responsive and user-friendly interfaces using React, Angular, or Vue.
Backend Development: Build robust APIs and microservices using Python (FastAPI, Flask) or JavaScript (Node.js).
Data Integration: Connect applications to SQL/NoSQL databases and vector stores like Pinecone, FAISS, or Weaviate.
Prompt Engineering: Collaborate with AI engineers to design effective prompts and implement RAG (Retrieval-Augmented Generation) flows.
Testing & Deployment: Implement CI/CD pipelines, write unit and integration tests, and deploy applications to cloud platforms (AWS, Azure).
Team Collaboration: Work closely with product managers, designers, and ML engineers to deliver high-impact AI solutions.

Required Skills & Qualifications
Programming Languages: Strong proficiency in Python
Frontend Frameworks: Experience with React, Angular (v8+), or Vue.js.
Backend Frameworks: Hands-on with FastAPI, Flask, experience with RESTful APIs and microservices.
GenAI Tools: Familiarity with LLM APIs (OpenAI, Azure OpenAI), LangChain, and vector databases.
Databases: Experience with PostgreSQL, MongoDB, DynamoDB, and vector stores.
Cloud & DevOps: Exposure to AWS, Azure, or Google Cloud Platform; containerization (Docker, Kubernetes); CI/CD tools.
Version Control: Proficient in Git and collaborative development workflows.
Problem Solving: Strong debugging and optimization skills.

Preferred Qualifications
Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
Understanding of RAG architecture and embeddings.
Exposure to NLP, ML pipelines, or model fine-tuning.
Familiarity with enterprise SDLC processes.
UI/UX sensitivity for building intuitive AI-powered interfaces

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.

About Intento Analytics LLC