Description

You will architect and lead the development of AI-native ecosystems on Google Cloud Platform, designing high-throughput microservices and LLM workflows for B2C applications serving millions of users.

This role is on-site.

Responsibilities

• Design and engineer high-throughput microservices for consumer applications.
• Deploy Retrieval-Augmented Generation (RAG) pipelines and orchestrate LLM workflows.
• Own and optimize the GCP footprint for scale, observability, and resilience.
• Build event-driven architectures and real-time streaming pipelines for user feedback.
• Lead technical decisions to improve end-user journey and system performance.

Required Skills

• 5+ years of experience shipping large-scale consumer products.
• Deep mastery of Java and Spring Boot.
• Experience with Microservices architecture.
• Proficiency in GCP and Cloud Computing principles.
• Experience building services using Python for AI workloads.
• Experience with PostgreSQL and Redis.
• Familiarity with RAG and LLM implementation.

Key Skills

Education

Any Graduate