Gen AI SDLC - Developer

Overview

On Site
Accepts corp to corp applications
Contract - Contract

Skills

Gen AI

Job Details

Hi,

Our client is looking for a Gen AI SDLC - Developer with a Long-Term Contract project in Charlotte, NC below is the detailed requirement.

Position: Gen AI SDLC - Developer

Location: Charlotte, NC Onsite

Contract

Job Description:

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
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