AI Engineer

AI Engineer – Rapid Prototyping & Automation

Location:

San Francisco, CA, in‑office | Compensation: $150,000 – $210,000 | Company:
Cargomatic, Inc.

We are a rapidly growing technology platform that powers the trucking industry by connecting shippers and commercial truck drivers with mobile technology. Our goal is to replace legacy phone‑and‑fax workflows with real‑time, data‑driven logistics solutions, providing full transparency throughout the shipping process.

• Rapidly design, prototype, and deploy standalone AI applications that solve real‑world logistics and operational challenges.
• Build and implement agentic AI systems capable of autonomous decision‑making and task execution.
• Develop AI‑powered automation tools to streamline workflows across operations, customer experience, and internal processes.
• Leverage modern LLM ecosystems, including Claude‑based and code‑first AI frameworks, to build intelligent agents and workflows.
• Integrate LLMs, APIs, and data pipelines into production‑ready services.
• Collaborate with product, engineering, and operations teams to identify high‑impact opportunities for AI solutions.
• Iterate quickly based on feedback, performance metrics, and evolving business needs.
• Ensure scalability, reliability, and security of AI systems in production environments.
• Stay current with advancements in AI/ML, especially in agent frameworks, Claude/OpenAI ecosystems, and automation tooling (e.g., n8n).
• Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks.
• Collaborate cross‑functionally with Product, Engineering, and Operations to translate business needs into scalable AI‑enabled solutions.
• Contribute to architectural standards, technical best practices, and innovation initiatives.

• Strong product builder mindset with an ability to prioritize high‑impact solutions.
• 3+ years of experience in software engineering, with a focus on AI/ML or automation.
• Proven experience building and deploying AI‑powered applications or prototypes end‑to‑end.
• Strong understanding of agentic AI concepts, LLMs, and modern AI frameworks.
• Hands‑on experience with Claude (Anthropic), OpenAI, or similar LLM APIs, including prompt design and orchestration.
• Experience with code‑based AI frameworks such as Lang Chain, Auto Gen, CrewAI, or similar.
• Experience building or orchestrating workflows using n8n (or similar tools like Zapier, Temporal, Airflow).
• Experience with event‑driven architectures and real‑time systems.
• Familiarity with vector databases and retrieval‑augmented generation (RAG).
• Proficiency in backend development using Node.js.
• Experience with frontend frameworks such as React for building lightweight interfaces.
• Hands‑on experience with cloud infrastructure, particularly AWS (Lambda, ECS, S3, etc.).
• Familiarity with databases such as Mongo
  
  DB and RDS (Postgre
  
  SQL/MySQL).
• Experience integrating third‑party APIs and building microservices.
• Ability to move quickly from concept to prototype to production.
• Active Git Hub contributions or demonstrated passion for emerging technologies in AI and data systems.

• Competitive compensation.
• Medical, dental, and vision benefits.
• 401(k) company match program.
• Flexible paid time off (PTO) and paid holiday.