Fullstack Developer with AI Job Irving area,Texas USA,Software Development

Job Description

Experience in ReactJS and modern front-end development frameworks
Strong hands-on experience in Java
JPA / Hibernate
RESTful APIs and SOAP Services
Maven
Experience with AI/GenAI application development
Retrieval Augmented Generation (RAG)
AI Agent Development (Agentic AI)
Integration with LLMs such as OpenAI, Azure OpenAI, Claude, or similar platforms
Vector Databases and Semantic Search concepts
Git and CI/CD pipelines
Design, develop, and maintain scalable full-stack applications using Python, Java, React, and Microservices architecture.
Build responsive and user-friendly front-end applications using React.
Develop and enhance backend services using Spring Boot and Python frameworks.
Design and implement REST/SOAP APIs for enterprise integrations.
Develop AI-powered applications leveraging RAG, LLMs, and Agent-based architectures.
Build and integrate AI Agents to automate business workflows and decision-making processes.
Implement MCP standards to enable secure and scalable communication between AI models, tools, and enterprise systems.
Integrate vector databases, embeddings, and semantic search capabilities into GenAI solutions.
Deploy and manage applications on Open Shift/Kubernetes platforms.
Collaborate with business stakeholders, architects, and cross-functional teams to translate requirements into scalable solutions.
Perform code reviews, unit testing, troubleshooting, and production support.
Ensure application security, performance optimization, and adherence to enterprise architecture standards.

Must Have Technical/Functional Skills

Strong experience in Python Development
Experience in ReactJS and modern front-end development frameworks
Strong hands-on experience in Java
Spring Framework (Spring Boot, Spring MVC, Spring Security)
JPA / Hibernate
Microservices Architecture
RESTful APIs and SOAP Services
Maven
Containerization using Docker
Open Shift / Kubernetes deployment experience
Experience with AI/GenAI application development
Retrieval Augmented Generation (RAG)
AI Agent Development (Agentic AI)
Model Context Protocol (MCP)
Integration with LLMs such as OpenAI, Azure OpenAI, Claude, or similar platforms
Vector Databases and Semantic Search concepts
Git and CI/CD pipelines

Roles & Responsibilities

Design, develop, and maintain scalable full-stack applications using Python, Java, React, and Microservices architecture.
Build responsive and user-friendly front-end applications using React.
Develop and enhance backend services using Spring Boot and Python frameworks.
Design and implement REST/SOAP APIs for enterprise integrations.
Develop AI-powered applications leveraging RAG, LLMs, and Agent-based architectures.
Build and integrate AI Agents to automate business workflows and decision-making processes.
Implement MCP standards to enable secure and scalable communication between AI models, tools, and enterprise systems.
Integrate vector databases, embeddings, and semantic search capabilities into GenAI solutions.
Deploy and manage applications on Open Shift/Kubernetes platforms.
Collaborate with business stakeholders, architects, and cross-functional teams to translate requirements into scalable solutions.
Perform code reviews, unit testing, troubleshooting, and production support.
Ensure application security, performance optimization, and adherence to enterprise architecture standards.

Salary Range: $125,000 to $140,000 per year

Qualifications:

BACHELOR OF COMPUTER SCIENCE

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