Description

You will design and build scalable backend services that power AI-driven applications.

This role is on-site.

Responsibilities

• Develop and maintain microservices and REST APIs using Python frameworks like FastAPI.
• Integrate Large Language Models (LLMs) and ML models into production systems.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines for intelligent applications.
• Deploy and manage containerized applications using Docker and Kubernetes on Google Cloud Platform.
• Implement CI/CD pipelines and ensure system scalability, monitoring, and fault tolerance.

Required Skills

• 5+ years of backend development experience with strong proficiency in Python.
• Hands-on experience with Google Cloud Platform (GCP) services.
• Deep knowledge of FastAPI, Docker, and Kubernetes.
• Experience building scalable microservices and REST APIs.
• Practical experience with LLM integration and RAG pipelines.
• Proficiency in BigQuery and data pipeline development.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Preferred Skills

• Experience with Vertex AI, GKE, and Cloud Run.
• Familiarity with message queues (Kafka, Pub/Sub) and vector databases (Pinecone, FAISS).

Key Skills

Education

Any Graduate