Python Developer with GenAI Experience

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Python
LLM
Langchain
sagemaker
angular
RAG

Job Details

Role: Python Developer with GenAI Experience

Locations: Charlotte, NC (Hybrid Onsite)

Duration: 12+ Months Contract

Job Summary:

  • STRONG JAVA / PYTHON / AAEML / basic angular skill still good
  • Senior Full Stack Developer with a strong background in Python and frontend frameworks such as Angular or ReactJS.
  • The ideal candidate should have a solid track record of building scalable, high-performance web applications and possess a genuine interest or foundational experience in Generative AI technologies, including GitHub Copilot, LangChain, AWS Bedrock, SageMaker, LLMs, RAG architectures, vector databases, and embeddings.

Key Responsibilities:

  • Design, develop, and maintain robust, scalable full stack applications using Python (Backend) and Angular/ReactJS (Frontend).
  • Translate complex business and functional requirements into technical designs and deliver end-to-end solutions.
  • Collaborate with cross-functional teams including product managers, AI/ML engineers, and DevOps for seamless feature delivery.
  • Build and consume RESTful APIs and integrate with third-party services.
  • Implement responsive, user-friendly UI/UX with modern JavaScript frameworks.
  • Write clean, maintainable, and well-documented code following best practices.
  • Contribute to code reviews, performance tuning, and system architecture discussions.
  • Stay current with evolving technologies and propose new tools or practices to improve team productivity.

Required Skills & Qualifications:

  • 10+ years of hands-on software development experience.
  • Strong expertise in Python.
  • Proficiency in Angular or ReactJS for frontend development.
  • Deep understanding of RESTful APIs, microservices architecture, and cloud-native design.
  • Strong experience in writing unit/integration tests and working in Agile/Scrum teams.
  • Exposure or working knowledge of Generative AI concepts, such as:
  • GitHub Copilot for AI-assisted coding
  • LangChain framework
  • AWS Bedrock and Amazon SageMaker
  • LLMs (e.g., Claude, GPT)
  • RAG (Retrieval-Augmented Generation) architecture
  • Vector databases (e.g., FAISS, Pinecone, pgvector)
  • Embeddings and semantic search

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.