Live opening · Posted 1 day ago

Software Engineer

BrightEdge · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyBrightEdge
LocationIndia (Remote)
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Software Engineer (Backend AI) - India Remote
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 (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 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 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

Work arrangement
Yes

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