Job Description
We are looking for a highly skilled
Fullstack Developer
with strong expertise in
Java (backend)
and
React.js (frontend)
, along with working exposure to
AI/ML frameworks
. The role requires proficiency in building scalable applications, cloud-native deployments, and integrating AI/ML models into production-ready solutions.
What You’ll Do
This position is ideal for a driven engineer passionate about developing robust fullstack applications, integrating AI capabilities, and contributing to innovative business solutions.
Fullstack Development & AI Integration
-
Design, develop, and maintain backend services using Java, Spring Boot, and Microservices architecture.
-
Build responsive, high-performance, and user-friendly frontend applications using React.js, Redux/Context API.
-
Develop and integrate RESTful APIs to ensure seamless communication between frontend and backend systems.
-
Collaborate with data scientists and ML engineers to integrate AI/ML models into production applications.
-
Work with AI APIs (e.g., OpenAI, HuggingFace, Vertex AI) to enhance application capabilities.
-
Deploy and manage applications in Docker / Kubernetes environments.
-
Implement CI/CD pipelines for faster and more reliable delivery.
-
Utilize cloud platforms such as AWS, Azure, or GCP for scalable deployments.
Collaboration & Continuous Improvement
-
Partner with product managers, architects, and cross-functional teams to deliver end-to-end solutions.
-
Ensure code quality through unit and integration testing (JUnit, Mockito, etc.).
-
Optimize application performance and ensure adherence to security best practices.
-
Stay updated with emerging technologies in AI/ML, Generative AI, and cloud-native solutions.
-
Document system designs, processes, and best practices for team knowledge sharing.
What You Know
-
Backend: Strong proficiency in Java, Spring Boot, Microservices.
-
Frontend: Hands-on experience with React.js, JavaScript (ES6+), HTML5, CSS3.
-
Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
-
AI/ML Exposure:
-
Understanding of ML concepts, pipelines, and model integration.
-
Experience with AI APIs (OpenAI, HuggingFace, Vertex AI) is a plus.
-
DevOps & Cloud: Experience with Docker, Kubernetes, Git, and cloud platforms (AWS/Azure/GCP).
-
Architecture: Familiarity with event-driven systems, Kafka, or messaging queues.
-
Strong problem-solving, debugging, and optimization skills.
-
Excellent communication and collaboration abilities.
Education
-
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Preferred Qualifications
-
Prior experience working on Generative AI-based applications (e.g., chatbots, copilots, recommendation engines).
-
Exposure to Agile/Scrum methodologies.
-
Knowledge of application security best practices.
Benefits
In addition to competitive salaries and benefits packages, we offer:
-
Health Benefits: Comprehensive medical coverage and life insurance.
-
Work-Life Balance: Paid leave for medical, family, pilgrimage, and personal needs.
-
Incentives & Rewards: Performance rewards, loans, extra salary, car financing, and savings programs.
-
Development & Training: Structured training, study sponsorships, international trips, and recognition programs.
-
Corporate Appliances: Laptop, internet device, and accessories.
-
Office Facilities: Gym, gaming room, free lunches, and a vibrant work environment.