Staff Software Engineer

GroundTruth builds AI-powered software for complex transportation and logistics businesses. They are seeking a Staff Software Engineer to lead the technical buildout of new high-scale workflow capabilities for enterprise logistics operations, focusing on scalable backend services, intelligent workflow capabilities, and reliable data models.

Responsibilities:

• Own the architecture and delivery of new enterprise workflow capabilities from MVP through production pilot
• Evaluate the existing codebase and identify reusable platform, data, integration, observability, and automation components
• Define clean service boundaries that allow new product capabilities to move quickly without creating tight coupling to legacy workflows
• Design schemas and services for operational state, decision tracking, workflow ownership, feedback, and integration events
• Build reliable, idempotent processing pipelines that can handle bursty traffic, safe replay, and downstream coordination
• Design practical automation patterns that combine deterministic logic, data signals, and AI where appropriate
• Design LLM usage patterns that are targeted, measurable, schema-bound, and cost-controlled
• Partner with product, operations, and customer stakeholders to turn ambiguous business workflows into reliable software systems
• Establish engineering guardrails for privacy-aware retention, safe logging, secure content handling, and auditable system behavior
• Define operational metrics for accuracy, latency, backlog, duplicate-work prevention, automation quality, model spend, and system cost
• Mentor other engineers and set technical standards for the project without becoming a bottleneck

Requirements:

• Staff-level or equivalent experience designing and shipping production distributed systems
• Strong backend engineering skills in a modern production stack
• Experience with event-driven systems, job queues, retries, idempotency, replay, backpressure, and dead-letter handling
• Experience designing data models for high-volume operational workflows
• Strong practical understanding of API integrations and third-party system boundaries
• Experience building systems with strict observability, auditability, and operational reliability requirements
• Ability to reason clearly about cost, scale, latency, and failure modes
• Experience with LLM-backed workflows, structured outputs, evaluation, or model cost controls
• Strong judgment around privacy, data retention, logging, and compliance-sensitive system design
• Ability to work from ambiguous requirements and produce a concrete technical path quickly
• Enterprise communications, workflow automation, or high-volume operational data processing experience
• Logistics, transportation, brokerage, freight, supply chain, or operations workflow experience
• Prior work with unstructured business inputs, document processing, OCR, or content extraction
• Experience with customer support routing, ticketing systems, workflow queues, or case management systems
• Experience integrating with cloud AI platforms such as Vertex AI, Gemini, OpenAI, or similar providers
• Experience designing human-in-the-loop review workflows
• Experience with multi-tenant SaaS or customer-specific configuration systems
• Experience with security scanning, untrusted document handling, or sandboxed parsers