Overview
On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Long Term
Skills
JAVA
Springboot
microservices
Kafka
MongoDB
NLP
ALM
NLS
Job Details
Principal Engineer with AI/ML- Need Local TO CA
Location : Woodland Hills , CA - 5 Days On-Site
Mandatory Areas
Must have Skills
- Skills - We need Lead with 15+ years' experience.
- Skill 1 9+ Yrs of Exp Java-based microservices Spring Boot, Spring Cloud, and Hibernate (Java Software Developer)
- Skill 2 7+ Yrs of Exp Natural Language Systems (NLS), integrating with NLP APIs, LLMs, and AI models
- Skill 3 9 Yrs of Exp Relational database (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Elasticsearch)
- Skill 4 6 Yrs of Exp - Message brokers (Kafka, RabbitMQ)
- Skill 5 6 Yrs of Exp - performance testing using JUnit, Mockito, and TestContainers.
- Understanding of DevOps practices, including CI/CD, monitoring, and cloud deployments (AWS, Google Cloud Platform, or Azure)
We are seeking an experienced Lead Java Software Developer with a strong background in Spring Boot and Natural Language Systems (NLS) to join our dynamic team. The ideal candidate will design, develop, and optimize scalable Java applications while integrating advanced NLP, AI, and machine learning models into our platform.
Key Responsibilities:
- Should be able to Lead the initiatives/project end to end from a technical stand point.
- Should be an aggressive leader who can act as single POC for any technical directions.
- Develop and maintain Java-based microservices using Spring Boot, Spring Cloud, and Hibernate.
- Implement and optimize Natural Language Systems (NLS), integrating with NLP APIs, LLMs, and AI models.
- Design RESTful APIs and ensure seamless system communication using GraphQL, gRPC, or WebSockets.
- Collaborate with AI/ML engineers to enhance text processing, speech-to-text, and chatbot applications.
- Work with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Elasticsearch) for efficient data storage and retrieval.
- Utilize message brokers (Kafka, RabbitMQ) for event-driven architectures.
- Optimize code for high performance, scalability, and security following best practices.
- Conduct unit, integration, and performance testing using JUnit, Mockito, and TestContainers.
- Troubleshoot, debug, and enhance system reliability in a CI/CD pipeline (Jenkins, GitHub Actions, Docker, Kubernetes).
Requirements:
- 5+ years of hands-on experience in Java development with Spring Boot framework.
- Proficiency in Natural Language Systems (NLS), including NLP processing and AI model integration.
- Experience in building scalable, distributed systems and microservices architecture.
- Strong knowledge of RESTful APIs, GraphQL, WebSockets, and API security protocols (OAuth, JWT, SAML).
- Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or OpenAI APIs is a plus.
- Experience working with containerized applications (Docker, Kubernetes, Helm charts).
- Understanding of DevOps practices, including CI/CD, monitoring, and cloud deployments (AWS, Google Cloud Platform, or Azure).
- Knowledge of text analytics, entity recognition, speech processing, and chatbot development is a strong advantage.
- Strong problem-solving skills and ability to work in Agile/Scrum teams
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.