Backend Engineer (India)

Skills

• 6 - 15

Responsibilities

• Backend & Systems Engineering
• Design and build scalable backend services using modern system design principles
• Own critical services that manage procurement, invoice, contract, and payment workflows
• Implement orchestration logic that coordinates AI agents, humans, and enterprise systems
• Build resilient systems with strong guarantees around idempotency, retries, and failure handling
• API & Integration Development
• Build and maintain robust APIs consumed by AI services, frontend apps, and external systems
• Integrate deeply with ERP systems, procurement platforms, and payment gateways and financial rails
• Handle complex data normalisation and transformation across enterprise systems
• AI Agent Building, Observability & Testing
• Build agent execution runtimes: tool calling, context management, memory, and multi-step reasoning loops
• Implement multi-agent coordination—parallel and sequential workflows with human-in-the-loop escalation
• Instrument agent execution with full trace capture: tool calls, LLM I/O, latency, token usage, and cost
• Design evaluation frameworks for agent output quality, task success rate, and regression detection
• Build automated test harnesses for agent pipelines—unit, integration, and replay-based regression tests
• Define and track agent reliability metrics: task completion rate, escalation rate, cost per workflow, and SLA adherence
• Reliability, Security & Compliance
• Design systems with enterprise-grade reliability, monitoring, and alerting
• Implement fine-grained access controls, audit logs, and data security best practices
• Ensure backend systems meet compliance requirements for financial and regulated data
• Performance & Scale
• Optimize backend systems for latency, throughput, and cost efficiency
• Design services that scale across global customers and billions of transactions
• Proactively identify and fix bottlenecks in distributed systems

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