Software Engineer

Software Engineer (Backend AI)

Job Overview

We are looking for a Backend AI Engineer to join our core infrastructure team. This is a role for a senior software engineer who thrives at the intersection of traditional backend engineering and the modern AI-assisted development workflow. You will not be training models; instead, you will use AI productivity tools to architect, build, and maintain scalable APIs and data pipelines that power our services.

Key Responsibilities:

• AI-Native Development: Use AI coding assistants (e.g., Cursor, GitHub Copilot, or Claude Code) to accelerate the delivery of high-quality, documented, and tested backend code.
• API & Infrastructure Design: Build and maintain robust RESTful or GraphQL APIs and microservices using Python (FastAPI/Flask)
• Intelligent Automation: Implement AI-driven automation for backend tasks such as predictive scaling, anomaly detection in logs, and automated database query optimization.
• Service Orchestration: Integrate specialized AI-powered third-party services (e.g., search, authentication, or automated security auditing) into our backend architecture.
• System Reliability: Ensure high availability and performance by designing systems that handle high traffic and complex data workflows while leveraging AI for proactive maintenance.

Required Technical Skills:

• Languages: Proficiency in Python, or Go for high-performance server-side logic.
• AI Productivity Tools: Mastery of AI-augmented IDEs and CLI tools for code generation, refactoring, and debugging.
• Databases: Expertise in relational (e.g., PostgreSQL) and NoSQL databases, focusing on performance tuning and efficient schema design.
• Cloud Infrastructure: Experience with AWS (Lambda, ECS, S3) or GCP for deploying and monitoring scalable backend services.
• DevOps & CI/CD: Ability to set up and manage automated pipelines for testing and deployment.

Qualifications

• Education : Bachelors in Computer Science Engineering
• Experience: 4+ years in backend engineering with a proven track record of shipping production-grade software.
• Efficiency: Demonstrated ability to deliver features significantly faster by leveraging modern AI development tools.
• Mindset: Strong architectural thinking and a focus on clean, maintainable code over black-box generated snippets