Gen AI - SDLC Developers

  • Charlotte, NC
  • Posted 22 hours ago | Updated 22 hours ago

Overview

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

Skills

Agile
GitHub
JavaScript Frameworks
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Microservices
Software Development
Web Applications
Scrum
Amazon Web Services

Job Details

Job Title: Gen AI - SDLC Developers

Location: Charlotte NC Hybrid

Duration: Long Term Contract

Job Description:

  • 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
  • Lang Chain framework
  • AWS Bedrock and Amazon Sage Maker
  • LLMs (e.g., Claude, GPT)
  • RAG (Retrieval-Augmented Generation) architecture
  • Vector databases (e.g., FAISS, Pinecone, pgvector)
  • Embeddings and semantic search
  • strong background in Python and frontend frameworks such as Angular or ReactJS.
  • foundational experience in Generative AI technologies, including GitHub Copilot, Lang Chain, AWS Bedrock, SageMaker, LLMs, RAG architectures, vector databases, and embeddings.
  • Design, develop, and maintain robust, scalable full stack applications using Python (Backend) and Angular/ReactJS (Frontend).
  • Build and consume RESTful APIs and integrate with third-party services.
  • Implement responsive, user-friendly UI/UX with modern JavaScript frameworks.

Key Responsibilities:

  • 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.
  • Write clean, maintainable, and well-documented code following best practices.
  • Contribute to code reviews, performance tuning, and system architecture discussions.
  • Experience in building scalable, high-performance web applications
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