
FullStack Developers
2 weeks ago
Job Description
We are looking for a highly skilled
Fullstack Developer
with strong expertise in
Java (backend)
and
(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 , 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 , 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.
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