Sr Developer - AI Application Backend (GCP, Python)

Job title: Sr Developer - AI Application Backend (GCP, Python)

About the Role Seeking a highly skilled backend engineer with strong Python and GCP expertise to design, build, and scale AI-driven backend systems. Focus on production-grade AI applications, scalable APIs, LLM/ML integration, and cloud-native deployment on GCP. Collaborate with AI engineers, data scientists, frontend developers, and DevOps to deliver reliable, high-performance services.

What You'll Do

• AI Application Development: Design and develop backend services powering AI-driven applications; integrate LLMs/ML into production systems; build RESTful APIs and microservices with Python frameworks (FastAPI, Flask, Django); implement RAG pipelines; optimize AI inference performance and latency.
• 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; implement IAM policies and security best practices.
• 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.

What We're Looking For

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5.5 to 9 years of backend development experience.
• Strong proficiency in Python.
• Hands-on experience with GCP cloud services.
• Experience building scalable backend systems and APIs.
• Knowledge of microservices architecture.
• Strong understanding of REST APIs and asynchronous programming.
• Experience with SQL-based databases.
• Familiarity with containerization (Docker) and cloud-native deployment.
• Strong analytical and problem-solving skills.

Nice to Have

• Experience with AI/ML frameworks (LangChain, Hugging Face, TensorFlow, PyTorch).
• Experience with Vertex AI or GCP AI services.
• Experience building LLM-based applications (RAG, Agents, embeddings).
• Experience with message queues (Pub/Sub, Kafka).
• Knowledge of MLOps best practices.
• GCP certification (Professional Cloud Developer / Data Engineer / ML Engineer).
• Experience in high-scale, enterprise-grade AI systems.