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Purple Drive

Gen AI Full Stack Developer

Purple Drive, Tampa, Florida, us, 33646

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Gen AI Full Stack Developer

Location:

Tampa, FL - Onsite Contract

Role Overview

We are seeking a

Gen AI Full Stack Developer

with strong expertise in modern web technologies and AI/LLM integration. The ideal candidate will design, develop, and deploy full-stack applications leveraging

ReactJS, NodeJS, TypeScript, Python, and SQL , while integrating

LangChain or LangGraph

to enable advanced AI-driven features. This role requires strong data modeling skills, ETL pipeline experience, and the ability to work effectively in cross-functional, self-managed teams.

Key Responsibilities

Develop and maintain

full-stack applications

using

ReactJS, NodeJS, TypeScript, Python, and SQL . Design, implement, and optimize

REST APIs

and backend services. Integrate

AI/LLM frameworks

such as

LangChain or LangGraph

into enterprise applications. Write efficient and complex

SQL queries

for data retrieval and processing. Design and manage

data models, ETL pipelines, and integrations

with relational and NoSQL databases. Collaborate with cross-functional teams in an

Agile, self-managed environment

to deliver high-quality solutions. Take

end-to-end ownership

of deliverables, from design to deployment. Ensure

scalability, security, and performance

of applications. Required Skills & Experience

5+ years

of experience in full-stack development. Proficiency in

ReactJS, NodeJS, TypeScript, Python, and SQL . Hands-on experience with

LangChain or LangGraph

for AI/LLM integration. Strong knowledge of

REST APIs, relational databases, and NoSQL databases . Proven ability to design

data models

and implement

ETL pipelines . Strong collaboration skills and experience in

cross-functional Agile teams . Excellent communication skills with the ability to

work autonomously

and drive results. Nice to Have

Experience deploying applications to

cloud platforms (AWS, GCP, Azure) . Familiarity with

microservices architecture

and

containerization (Docker, Kubernetes) . Exposure to

prompt engineering, RAG, and AI-driven workflows .