About the role
Job Title: Java Full-Stack Developer with LLM AI
Location : Irvine, CA (Hybrid)
Duration: Long-term Contract
Must Have skills :- JAVA,REACT, AWS, LLM (AI)
1. Backend Development (Java, Microservices & AI Integration)
• Develop scalable RESTful APIs using Java (Spring Boot, Spring Cloud).
• Implement microservices architecture for modular AI-based applications.
• Integrate LLMs (e.g., OpenAI, Llama, Hugging Face) into backend services.
• Optimize API performance, caching (Redis, Memcached), and logging.
• Implement authentication & authorization (OAuth, JWT, Spring Security).
2. Frontend Development (React & AI-Powered UI)
• Develop interactive UIs using React.js with state management (Redux, Context API).
• Implement AI-driven search, chatbot UIs, and autocomplete features.
• Optimize UI performance for real-time LLM interactions.
• Ensure responsive design with Material-UI, Bootstrap, or Tailwind CSS.
3. Cloud & Deployment (AWS, DevOps, CI/CD)
• Deploy applications on AWS (EC2, Lambda, S3, RDS, DynamoDB, API Gateway).
• Manage infrastructure using Terraform or AWS CloudFormation.
• Implement CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD).
• Use Docker & Kubernetes for containerized deployments.
4. Database & Storage Management
• Design relational (MySQL, PostgreSQL) and NoSQL (MongoDB, DynamoDB) databases.
• Optimize database queries and indexing for faster AI processing.
• Implement caching mechanisms to reduce API latency.
5. AI Model Integration & Optimization
• Fine-tune open-source LLMs (Llama, Falcon, Mistral) for domain-specific use cases.
• Optimize prompt engineering for better AI-generated responses.
• Reduce model inference time using quantization & batching.
• Work with vector databases (Pinecone, FAISS, Weaviate) for LLM-powered search.
6. Performance Monitoring & Scalability
• Monitor API response times, database performance, and cloud costs.
• Scale microservices using AWS Auto Scaling, Load Balancers, and Kubernetes.
• Implement observability tools (Prometheus, Grafana, AWS CloudWatch).
7. Security & Compliance
• Ensure secure API communication (HTTPS, CORS, OAuth 2.0, JWT).
• Protect AI models and APIs from abuse using rate limiting & anomaly detection.
• Follow industry standards like GDPR, HIPAA, SOC 2 for compliance.
Thanks & Regards
Dilshadul Karim
(Technical Recruiter)
Desk : 609-998-5927 Ext (2534)
Dilshadul.k@nityo.com
https://www.linkedin.com/in/dilshadul-karim-9a7b05221/