Description

You will build and maintain advanced solutions integrating AI/ML capabilities into distributed web applications.

Responsibilities

• Develop low-latency service APIs and data aggregation pipelines using Java.
• Implement and evaluate Retrieval Augmented Generation (RAG) guardrails and processes.
• Build applications utilizing relational (Oracle) and non-structured (NoSQL) data stores.
• Design and implement features leveraging LLM concepts, including Prompting and Few Shot Prompting.
• Contribute to the architecture and implementation of MLOps components.

Required Skills

• 5+ years of professional experience in software development.
• Minimum 1 year of experience in AI, ML, and LLM Implementations.
• Proficiency in Java (version 8 and above) and J2EE technologies.
• Hands-on experience with Spring Framework, Spring Data, and Spring Boot.
• Solid understanding of LLM concepts (RAG, Prompting, SFT) and LLMOps architecture.
• Experience with TensorFlow, Keras, RASA, and LangChain.
• Strong grasp of distributed systems, RESTful Services, and Microservices patterns.
• Familiarity with cloud services, specifically AWS knowledge.
• Experience with relational databases (Oracle) and NoSQL data stores.

Key Skills

Education

Bachelor's degree