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).