System Engineer

Requirements

• 2–3 years of experience building production-grade backend systems
• Strong proficiency in Python and TypeScript
• Experience with async programming, type hints, and modern development tooling
• Strong understanding of database schema design, migrations, and query optimization
• Experience with Docker, containerization, and CI/CD pipelines
• Ability to debug and maintain production systems
• Strong attention to detail and code quality
• Experience using AI coding assistants such as Cursor, Claude Code, or Codex
• Ability to write clear, structured, and maintainable code
• Strong problem-solving and communication skills
• Experience with APIs, backend integrations, and system architecture

Responsibilities

• Build and scale backend systems powering AI agents and automation workflows
• Design resilient agent workflows with failure handling and retry mechanisms
• Develop data connectors that enable secure access to brand intelligence
• Create and maintain schemas, data models, and database migrations
• Instrument AI systems with logging, tracing, evaluations, and performance monitoring
• Maintain and improve CI/CD pipelines and deployment infrastructure
• Support containerized deployments across managed and self-hosted environments
• Build systems optimized for AI-agent consumption and automation
• Use AI coding assistants as a primary development tool
• Mentor junior engineers and contribute to engineering best practices
• Improve code quality, documentation standards, and technical excellence

Job Details

Location: Worli, Mumbai (3 days WFO)

Interview Process

• Recruiter Screening
• Technical Assessment
• Technical Interview
• Hiring Manager Round
• Final Discussion