Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview
AI that continuously audits your financial logistics workflows against your true agreements, instantly catching discrepancies at the source of truth. It was founded in undefined, and is headquartered in , with a workforce of 11-50 employees. Its website is https://www.groundtruth.io/.