Job Title: - Senior Java Full Stack Lead (AI/LLM Integration)
Job Location: - Woodland Hills, CA
Rate: - $85/HR
Required Skills
- Java 11/17/21
- Spring Boot, Spring MVC, Spring Security
- Microservices Architecture
- REST APIs, SOAP Services
- Angular (11+/19), ReactJS, TypeScript, HTML5, CSS3
- Azure/AWS Cloud Platforms
- SQL Server, Oracle, MySQL, MongoDB
- Git, Maven, Jenkins
- JUnit, Mockito
- Agile/Scrum
- Kafka
Preferred Skills
- OpenAI/LLM Integration
- Spring AI, LanEligible to workhain4j
- RAG (Retrieval-Augmented Generation)
- Prompt Engineering
- AI-powered Microservices
- Kafka
- Docker/Kubernetes
- GraphQL
Responsibilities
- Design, develop, and maintain enterprise-grade Java applications using Spring Boot and Microservices.
- Build and consume RESTful APIs and integrate third-party services.
- Develop responsive user interfaces using Angular and TypeScript.
- Design and implement cloud-native solutions on Azure and AWS.
- Integrate AI/LLM capabilities using OpenAI, Spring AI, and LanEligible to workhain frameworks.
- Implement RAG-based solutions and prompt engineering techniques to improve AI application performance
- Collaborate with cross-functional teams in Agile environments.
- Develop unit and integration tests and ensure code quality through best practices
- Java & Database Expertise: Strong hands-on expertise in Java, Spring Boot, and microservices, with excellent database knowledge and the ability to understand end-to-end data flows across multiple applications.
- AI/GenAI & Agentic Development: Proven, hands-on experience in developing AI/GenAI and agentic solutions using relevant modern AI technologies. Candidates must be capable of Consultantly designing and implementing solutions, not merely familiar with the concepts.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- 10+ years of hands-on Java/J2EE development experience.
- Strong experience in Spring ecosystem, Angular, databases, and cloud technologies.
- Experience delivering AI-enabled enterprise
Key requirements:
- Leadership & Ownership: Highly proactive and execution-driven| with excellent communication skills and the ability to Consultantly own requirements| lead teams| make decisions| and drive implementation end to end.
- Java & Database Expertise: Strong hands-on expertise in Java| Spring Boot| and microservices| with excellent database knowledge and the ability to understand end-to-end data flows across multiple applications.
- AI/GenAI & Agentic Development: Proven| hands-on experience in developing AI/GenAI and agentic solutions using relevant modern AI technologies. Candidates must be capable of Consultantly designing and implementing solutions| not merely familiar with the concepts.
- We need exceptionally strong| hands-on Technical Leads who can take ownership and deliver from day one| with no dependency on constant guidance or follow-ups.
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