Note: The job is a remote job and is open to candidates in USA. Cargomatic is a rapidly growing company disrupting the trucking industry by transforming the way goods move through a technology platform and digital marketplace. They are seeking a highly hands-on AI Engineer to build agentic AI systems and automation tools that integrate with their ecosystem, delivering immediate business value and working alongside a live TMS and RPA stack.
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
Skills
- 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
- Competitive compensation
- Medical, dental, and vision benefits
- 401K company match program
- Flexible paid time off (PTO) and paid holidays
Company Overview
Company H1B Sponsorship