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. Take a look around you. Literally everything humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, and yet this $82 billion industry still relies heavily on phone calls and fax machines. Cargomatic is transforming the way goods move around every local node in the supply chain by connecting shippers and commercial truck drivers with mobile technology. We are solving complex, real-world problems every day, and giving full transparency to the shipping process.
Cargomatic is seeking a highly 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 our ecosystem and deliver immediate business value — working alongside a live TMS and RPA stack, with real exception-handling and audit requirements. You will work at the intersection of AI, product development, and infrastructure — quickly turning ideas into working prototypes and scaling the most promising solutions into production.
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 our TMS and other internal systems, partnering with front-end and backend engineering on execution
- 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 in 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 and 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) including prompt design, orchestration, and evaluation
- Workflow orchestration experience — n8n, LangChain, Temporal, or similar
- Familiarity with no-code/low-code automation tools including Zapier, with the ability to know 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 building lightweight interfaces; comfortable partnering with full-stack and data engineering teams to ship into production systems
- 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 demonstrated track record of shipping AI systems in production beyond the prototype stage
Benefits & Perks
Competitive compensation
Medical, dental, and vision benefits
401K company match program
Flexible paid time off (PTO) and paid holidays
Equal Opportunity Employer
Cargomatic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Skills 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, confidence handling)
- Clear understanding of where LLMs and agentic systems outperform RPA and where they do not
- Comfortable working alongside RPA developers and handing off structured outputs to deterministic workflows
- Experience with LLM APIs (Claude, OpenAI) including prompt design, orchestration, and evaluation
- Workflow orchestration experience (n8n, LangChain, Temporal, or similar)
- Familiarity with no-code/low-code automation tools including 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 and calling core platform/internal APIs to execute production actions
- Backend proficiency in Node.js
- Comfort with React for building lightweight interfaces
- AWS experience (Lambda, ECS, S3)
- Familiarity with databases and data warehouses (MongoDB, RDS - PostgreSQL/MySQL, Firestore, Redshift)
- Experience integrating third-party APIs and building microservices
- Active GitHub or demonstrated track record of shipping AI systems in production beyond prototype stage
Cargomatic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cargomatic and has not been reviewed or approved by Cargomatic.
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Healthcare Strength — Healthcare coverage appears robust, with multiple mainstream medical, dental, and vision options and employer‑verified confirmation of comprehensive plans. Benefits materials point to strong plan design details, reinforcing confidence in core health coverage.
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Retirement Support — Retirement offerings include a 401(k) with company match, signaling meaningful long‑term support. Company materials consistently highlight the match as a core component of the package.
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Leave & Time Off Breadth — Flexible/unlimited PTO and paid holidays are prominently featured, indicating broad time‑off offerings on paper. Company materials and listings emphasize flexibility as part of the package.
Cargomatic Insights
What We Do
Trusted by 19 of the top 20 importers, Cargomatic leverages the latest innovations to deliver comprehensive short-haul logistics solutions powered by the industry’s most sophisticated technology platform. The company offers a true one-stop shop—one provider for all U.S. markets managed in one technology platform with a single point of contact for the entire shipment life cycle. Services include LTL, LCL, FTL, FCL, Drayage, Intermodal, White Glove, Final Mile and Storage/Yard Management. Cargomatic’s network of subsidiary-owned assets, owner-operators and fleets provides customers with daily access to more than 35,000 trucks in 50 markets, including the nation’s top 20 ports. At Cargomatic, We Deliver More.
Why Work With Us
At Cargomatic, we tackle logistics challenges with innovative, tech-driven solutions. Our team is empowered to make a real impact in an environment that values curiosity, collaboration and growth. Join us to be part of a forward-thinking culture where passionate people drive meaningful change in how goods move across the globe.
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