Staff Engineer

The core responsibilities for the job include the following:
Backend and 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 and 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 normalization and transformation across enterprise systems.
AI Agent Building, Observability, and 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, and 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 and 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.
The core requirements for the job include the following:
Core Backend Skills:
8-14 years' experience building strong production backend systems.
Strong proficiency in Python, NodeJS, Go, or similar backend languages.
Deep understanding of distributed systems, APIs and microservices, databases (SQL and NoSQL), and message queues/event-driven architectures.
System Design:
Proven experience designing scalable, fault-tolerant systems.
Strong grasp of consistency, concurrency, and data integrity trade-offs.
Experience building workflow engines or state-driven systems is a plus.
Enterprise and Data Context:
Experience working with financial systems, enterprise SaaS platforms, or sensitive/regulated data.
Comfort operating in environments where backend failures have a real business impact.
Bonus, nice to have:
Experience with multi-agent orchestration and agent-to-agent communication protocols.
Familiarity with event sourcing, rule engines, or policy systems.
Knowledge of production debugging at scale and observability tooling.
Contributions to or experience with open-source LLM tooling ecosystems.
Experience with agent observability tooling (LangSmith, Arize, Helicone, or custom trace pipelines) and eval design.
Experience building LLM-powered systems in production; familiarity with agent frameworks (LangChain, CrewAI, or custom).

Skills
APIs, databases, distributed systems, go, golang, microservices, node.js, nodejs, nosql, python, sql

Experience
8-12 yrs