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 (Must Have)
- Languages: Proficiency in Python, for high-performance server-side logic
- AI Productivity Tools: Mastery of AI-augmented IDEs and CLI tools for code generation, refactoring, and debugging. Experience working with Claude, Cursor or similar AI tool
- Databases: Expertise in relational (e.g., PostgreSQL) and NoSQL databases, Clickhouse focusing on performance tuning and productive 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 only
- 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
📌 Software Engineer (India)
🏢 BrightEdge
📍 India
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