AI Engineer
Cargomatic · United States
About this role
## AI Engineer — Agentic Automation **Location:** Remote **Compensation:** $150,000 - $210,000 Join a rapidly growing company disrupting the trucking industry. Cargomatic is the #1 technology platform and digital marketplace for powering world-class, local trucking—transforming how goods move by connecting shippers and commercial truck drivers with mobile technology. Cargomatic is seeking a hands-on **AI Engineer** who thrives in fast-paced environments and is passionate about rapid prototyping and deploying standalone, AI-driven applications. This role focuses on building **agentic AI systems and automation tools** that integrate with the company’s ecosystem and deliver immediate business value—working alongside a live **TMS** and **RPA** stack with real exception-handling and audit requirements. --- ### Key Responsibilities - Design agentic AI workflows for structured logistics operations, with clear escalation paths to human review or RPA where deterministic handling is required - Call core platform/internal APIs to integrate automation workflows into the TMS and other internal systems (partnering with front-end and back-end engineering) - Integrate LLMs, APIs, and data pipelines into reliable production services, including data engineering tie-ins with systems like **Firestore** and **Redshift** - Build and implement agentic AI systems capable of autonomous decision-making and task execution - Own evaluation frameworks: accuracy, latency, cost per call, fallback behavior, and exception handling - Implement guardrails, monitoring, and audit trails for production AI systems - Collaborate with Product and Ops to define success metrics before building - Leverage modern LLM ecosystems (including Claude-based and code-first AI frameworks) to build intelligent agents and workflows - Stay current with advancements in AI/ML, especially agent frameworks and automation tooling - Build lightweight frontend interfaces from product prototypes, and partner with full-stack engineering to productionize and scale successful prototypes --- ### Required - 3+ years in software engineering with hands-on experience shipping AI or automation systems in production enterprise environments - Strong grasp of agentic AI concepts: tool use, function calling, exception routing, and confidence handling at scale - Clear understanding of where LLMs/agentic systems outperform RPA—and where they don’t - Comfortable working alongside RPA developers; understands how to hand off structured outputs into downstream deterministic workflows - Experience with LLM APIs (Claude, OpenAI): prompt design, orchestration, and evaluation - Workflow orchestration experience (n8n, LangChain, Temporal, or similar) - Familiarity with no-code/low-code automation tools (e.g., Zapier) and knowing when to move beyond them - Experience building rules-based automation with structured inputs, exception handling, and audit trails - Familiarity with RAG and vector databases - Experience integrating with TMS or ERP platforms, including calling core platform/internal APIs to execute production actions - Backend proficiency in **Node.js**; comfort with **React** for lightweight interfaces; comfortable partnering with full-stack and data engineering teams - AWS experience (Lambda, ECS, S3) - Familiarity with databases and data warehouses such as MongoDB, RDS (PostgreSQL/MySQL), Firestore, and Redshift - Experience integrating third-party APIs and building microservices - Active GitHub or dem
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