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.)

Key Competencies

• Strong backend system design skills
• Ownership mindset
• Cross-functional collaboration
• Clear communication skills
• Ability to work in fast-paced, AI-driven environments