Sr Software Engineer

About the Role 

We are seeking a highly skilled AI Application Backend Developer with strong 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 modern Python frameworks and cloud infrastructure, with strong 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: 
  • BigQuery 
  • Cloud Run 
  • Cloud Functions 
  • Compute Engine 
• GKE (Kubernetes Engine) 
• Cloud Storage 
• 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. 
• Deploy and manage services using Kubernetes (GKE preferred). 
• Implement CI/CD pipelines (GitHub Actions, Cloud Build, Jenkins). 
• Monitor application health and performance using logging and observability tools. 

🔹 Collaboration & Engineering Excellence 

• Participate in Agile/Scrum ceremonies. 
• Write clean, maintainable, well-documented code. 
• Conduct peer code reviews. 
• Troubleshoot and debug production issues. 
• Contribute to architectural decisions and continuous improvement. 

Technical Skill Set 

Programming 

• Python (Advanced) 
• SQL 

Frameworks 

• FastAPI / Flask / Django 
• Async programming (asyncio) 

Cloud 

• Google Cloud Platform (GCP) 
• Vertex AI (preferred) 
• BigQuery 
• Cloud Run / GKE 

DevOps 

• Docker 
• Kubernetes 
• CI/CD pipelines 
• Git 

AI/ML 

• LLM integrations 
• RAG pipelines 
• Prompt engineering basics 
• Embedding & vector databases (Pinecone, FAISS, etc.) 

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