Gen AI -SDLC Developer

Overview

On Site
$60 - $70
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Gen AI
SDLC
Python
Angular
ReactJS
RESTful
API
microservices
Generative AI
LLM
LangChain
GitHub
Copilot

Job Details

Position: Gen AI -SDLC Developer

Location: Charlotte NC- candidate needs to work from client office 3 days week
Duration: Long term


Description

Core skills

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

strong background in Python and frontend frameworks such as Angular or ReactJS.

foundational experience in Generative AI technologies, including GitHub Copilot, LangChain, 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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