AI Engineer

AI Engineer Location: San Francisco, CA, in-office

Compensation: 150,000 – $210,000 Company: Cargomatic, Inc.

Disruptive, groundbreaking, transformative company is changing an industry

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.

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.

Requirements:

Strong product builder mindset with an ability to prioritize high-impact solutions

Hands on experience in software development is required.

Must have 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

Extensive experience working with agentic AI systems, LLMs, and modern AI technologies and 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 → prototype → 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