More jobs:
Full Stack Java Developer Gen AI
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-03-05
Listing for:
Innoventrics
Full Time
position Listed on 2026-03-05
Job specializations:
-
Software Development
Cloud Engineer - Software, Full Stack Developer
Job Description & How to Apply Below
Position Overview
We are seeking a highly skilled Full Stack Java Developer with Generative AI expertise to design, develop, and optimize full‑stack applications. This role involves working across backend, frontend, database, microservices, and AI integration layers to deliver enterprise‑grade solutions.
Day‑to‑Day Responsibilities /Key Responsibilities
- Design, develop, and maintain full‑stack applications using Java (Spring Boot) and Angular.
- Architect and implement scalable microservices‑based systems.
- Develop and optimize RESTful APIs and backend services.
- Design and manage SQL and No
SQL (Mongo
DB) databases. - Integrate Generative AI solutions (LLMs, AI APIs, prompt engineering, model orchestration) into enterprise workflows.
- Ensure application security, performance, scalability, and high availability.
- Lead code reviews, mentor junior developers, and enforce best engineering practices.
- Collaborate closely with Product Managers, UX Designers, Dev Ops, and QA teams.
- Participate in CI/CD implementation and cloud‑native deployments.
- Contribute to architectural documentation and long‑term technical strategy.
- Strong expertise in Java 8+.
- Hands‑on experience with Spring Boot, Spring MVC, Spring Security.
- Knowledge of microservices architecture and API gateway implementation.
- Experience with message brokers such as Kafka or Rabbit
MQ (preferred).
- Advanced experience with Angular (v10+).
- Strong proficiency in Type Script, RxJS, and NgRx (preferred).
- Ability to build responsive UI and component‑based architectures.
- Strong SQL experience (Oracle, MySQL, Postgre
SQL). - Hands‑on experience with Mongo
DB. - Proficiency in database design, indexing, and query optimization.
- Experience with LLM APIs (OpenAI, Azure OpenAI, etc.).
- Practical understanding of prompt engineering and AI workflow integration.
- Knowledge of embeddings, vector databases, and RAG architecture.
- Exposure to Lang Chain or similar orchestration frameworks (preferred).
- Experience with Docker and Kubernetes.
- Working knowledge of CI/CD pipelines (Jenkins, Git Hub Actions, etc.).
- Familiarity with cloud platforms such as AWS, Azure, or GCP (preferred).
- Strong Full Stack Development (Java + Angular).
- Microservices architecture expertise.
- REST API development and backend optimization.
- SQL + Mongo
DB proficiency. - Generative AI integration experience.
- CI/CD and cloud‑native application experience.
- Collaboration and leadership abilities (code reviews, mentoring).
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