Full Stack Engineer

synapse business systems

United States

3 days ago

Apply on www.dice.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Clean Code Principles HTML Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Component-Based Software Engineering Cascading Style Sheets (CSS) Code Review Software Debugging PostgreSQL Performance Tuning Next.js

+17 more

Responsive Web Design Search Technologies Software Engineering SQL Databases Systems Integration Enterprise Software Applications ReactJS Large Language Models Spring-boot Software Troubleshooting Generative AI Backend Graphql Front End Software Development Api Design Restful APIs Microservices

Job description

Design and develop modern, responsive web applications using React, JavaScript, HTML, CSS, and Next.js.
Build reusable UI components and maintain consistent, accessible user experiences across applications.
Develop and enhance backend services using Java, Spring Boot, REST APIs, microservices, SQL, and PostgreSQL.
Integrate AI/ML and Generative AI capabilities into enterprise applications, including model or LLM integrations, intelligent workflows, and AI-driven user experiences.
Collaborate with product, design, architecture, and engineering teams to deliver secure, scalable, maintainable solutions.
Participate in API design, application troubleshooting, code reviews, testing, and performance optimization.
Follow clean-code, modern architecture, security, and Agile delivery practices.

Requirements

8+ years of full stack software engineering experience.
Strong recent hands-on experience developing front-end applications with React and modern JavaScript.
Experience with Next.js, reusable component development, responsive design, and UI performance optimization.
Solid backend development experience with Java, Spring Boot, RESTful APIs, microservices, SQL, and PostgreSQL.
Demonstrated experience implementing AI/ML or Generative AI solutions within production or enterprise applications.
Familiarity with AI integration patterns such as LLM APIs, RAG, vector search, prompt workflows, model inference, or AI-assisted automation.
Experience working with GraphQL is preferred.
Strong troubleshooting, debugging, communication, and Agile/Scrum delivery skills., The strongest candidates will have a frontend-first React background combined with real hands-on experience building AI-enabled functionality. They should be able to clearly explain the AI use case, their personal technical contribution, the architecture, integrations, security considerations, and business outcome.