Cargomatic

AI Engineer

Cargomatic$150K — $210K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software engineering with a focus on AI/ML or automation
  • Proven track record of building and deploying end-to-end AI-powered applications
  • Strong understanding of agentic AI concepts and LLM frameworks
  • Hands-on experience with Claude and OpenAI APIs, including prompt design
  • Experience with code-based AI frameworks and capabilities
  • Familiarity with event-driven architectures and real-time systems
  • Proficiency in backend development, particularly Node.js.

Responsibilities

  • Rapidly design, prototype, and deploy standalone AI applications for logistics challenges.
  • Build and implement autonomous decision-making AI systems.
  • Develop AI automation tools to streamline various workflows.
  • Leverage LLM ecosystems to create intelligent agents and workflows.
  • Integrate APIs and data pipelines into production-ready services.
  • Work collaboratively with teams to identify high-impact AI opportunities.
  • Iterate quickly based on feedback and evolving business needs.

Benefits

  • Medical, dental, and vision benefits
  • 401K company match program
  • Flexible paid time off (PTO) and paid holidays
Full Job Description
AI Engineer
Location: San Francisco, CA, in-office
Compensation: 150,000 - $210,000
Company: Cargomatic, Inc.


AI Engineer- Rapid Prototyping & Automation

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 can operate independently, integrate with our ecosystem, and deliver immediate business value.

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:
  • 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.

Preferences:
  • 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 (e.g., Claude tool use / function calling, LangChain, AutoGen, 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 MongoDB and RDS (PostgreSQL/MySQL)
  • Experience integrating third-party APIs and building microservices
  • Ability to move quickly from concept 12 prototype 12 production
  • Active GitHub contributions or demonstrated passion for emerging technologies in AI and data systems.

Benefits & Perks:
  • Competitive compensation
  • Medical, dental, and vision benefits
  • 401K company match program
  • Flexible paid time off (PTO) and paid holiday

About Cargomatic

Cargomatic is a technology company that provides a platform connecting shippers and carriers in the trucking industry. The company offers real-time tracking, pricing, and payment solutions for trucking services. Cargomatic was founded in 2013 and is headquartered in Los Angeles, California.
Learn more about Cargomatic
Size
50 employees
Industry
Founded
2013

Similar Jobs

More Jobs at Cargomatic

  • Cargomatic
    AI Engineer
    $150K — $210K *
    San Francisco, CA 94112 (San Francisco County)
    Enterprise Technology
    In-Person
  • Cargomatic
    Director of Indirect Procurement
    $145K — $170K *
    Norfolk, VA 23503 (Norfolk City County)
    Business Services
    In-Person

More Enterprise Technology Jobs

Find similar AI Engineer jobs: