Description

You will build microservices and integrate AI capabilities into production environments while managing the full deployment lifecycle.

Responsibilities

• Build and maintain microservices using Java and Spring Boot.
• Manage deployment pipelines and containerized environments with Docker and Kubernetes.
• Implement AI-powered chatbots, virtual assistants, and RAG-based applications.
• Engineer LLM prompts and monitor system logs and telemetry using ELK/EFK stacks.

Required Skills

• 8+ years of professional software development experience.
• 6+ years of Java development and DevOps experience.
• Extensive experience with Spring Boot and microservices architecture.
• Hands-on experience with Docker and Kubernetes.
• Proficiency with GitHub, Jenkins, and ELK/EFK stacks.
• 2+ years of experience with LLM prompts and RAG.
• 2+ years of experience building AI-powered chatbots or virtual assistants.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

Preferred Skills

• Familiarity with AWS services.
• Experience with Agentic AI, LangChain, LangGraph, or LangSmith.
• Knowledge of traditional ML-based AI frameworks.

Key Skills

Education

Bachelor’s degree in computer science