About The Role

We are seeking a highly skilled AI Application Backend Developer with solid expertise in Python and Google Cloud Platform (GCP) to design, build, and scale AI-driven backend systems.

This role focuses on developing production-grade AI applications, building scalable APIs, integrating LLMs and ML models, and deploying cloud-native solutions on GCP. You will collaborate closely with AI engineers, data scientists, frontend developers, and DevOps teams to deliver intelligent, reliable, and high-performance backend services.

The ideal candidate has hands-on experience in building AI-enabled systems using up-to-date Python frameworks and cloud infrastructure, with robust knowledge of distributed systems and scalable architecture.

Key Responsibilities

AI Application Development :

Design and develop backend services to power AI-driven applications.
Integrate Large Language Models (LLMs), ML models, or AI services into production systems.
Build RESTful APIs and microservices using Python frameworks (FastAPI, Flask, Django).
Implement RAG (Retrieval-Augmented Generation)



pipelines and AI orchestration workflows where applicable.
Optimize AI inference performance, latency, and reliability.

Cloud & Infrastructure (GCP)

Design and deploy AI backend services on Google Cloud Platform (GCP).
Work with GCP services such as: 1. BigQuery 2. Cloud Run 3. Cloud Functions 4. Compute Engine 5. GKE (Kubernetes Engine) 6. Cloud Storage 7. Vertex AI (preferred).
Ensure scalability, monitoring, and fault tolerance of cloud applications.
Implement IAM policies, security best practices, and environment isolation.

Data & Integration

Develop data pipelines to support AI models and analytics workflows.
Integrate backend systems with third-party APIs and enterprise applications.
Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, BigQuery).
Handle data validation, transformation, and preprocessing logic.

DevOps & CI/CD

Containerize applications using Docker.
Deplo

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