Java Full Stack Developer

Overview:

Job Purpose

We are seeking a Software Developer to join our innovative development team. In this role, you will contribute to the design and development of our applications while taking ownership of specific components and features.

Responsibilities

Design, develop, and maintain web applications using Java and Spring Boot for backend services and React for frontend development

Implement new features and enhancements to existing functionality with moderate guidance

Write clean, efficient, and maintainable code following best practices and team standards

Create and maintain RESTful APIs and integrate them with React-based frontends

Collaborate with cross-functional teams to understand requirements and deliver solutions

Troubleshoot, debug, and resolve technical issues in both backend and frontend systems

Participate in code reviews, providing and receiving constructive feedback

Write and maintain unit tests to ensure code quality and functionality

Contribute to database design and development using SQL and PostgreSQL

Stay current with relevant technologies and frameworks

Provide occasional guidance to junior developers

Knowledge and Experience

Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)

3+ years of professional software development experience

Java Programming: Deep knowledge of Java language, its ecosystem, and best practices

Experience with SQL, PostgreSQL and relational database concepts

Frontend Technologies: Proficiency in HTML, CSS, JavaScript, React, and TypeScript

Backend Development: Expertise in developing and maintaining backend services using Java, Spring, and related technologies

Strong understanding of RESTful services, microservices architecture, and database management

Familiarity with version control systems like Git, Azure DevOps, and CI/CD pipelines

AI & ML Fundamentals: Understanding of natural language processing (NLP), machine learning concepts, and how LLMs work

Prompt Frameworks & Techniques: Proficiency in methods such as zero-shot, few-shot, chain-of-thought, and knowledge-generation prompting

LLM API Experience: Hands-on work with major AI platforms (e.g., OpenAI, Anthropic, Google Gemini) to test and refine prompts

Prompt Optimization: Ability to craft precise, structured instructions that reduce hallucinations and improve accuracy

Data Preparation: Preparing and curating datasets for training or fine-tuning models

Performance Analysis: Measuring and improving AI output quality through A/B testing and iterative refinement

Preferred Experience

Knowledge of cloud platforms (OCP, Apigee, AWS, GCP, or Azure)

Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions)

Knowledge of containerization concepts (Docker)

Familiarity with microservices architecture

Experience with automated testing frameworks

Understanding of responsive design and accessibility standards

Knowledge of performance optimization techniques

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