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Java Full-Stack Developer with LLM AI

Min Experience

0 years

Location

Irvine, CA

JobType

contract

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/

Skills

java
react
aws
llm
ai