AI Engineer

AI Engineer Cargomatic - 2.8 Long Beach, CA Job Details $150,000 - $210,000 a year 1 hour ago Benefits Paid holidays Health insurance Dental insurance Paid time off Vision insurance 401(k) matching Qualifications Node.js Automation Amazon ECS MongoDB Scalable systems 3 years JavaScript frameworks Prompt engineering Microservices Zapier Cloud infrastructure implementation Product development Model deployment PostgreSQL Prototype creation Implementing APIs Developing data pipelines GitHub Scalability Developing and maintaining backend systems Front-end development S3 Senior level AI Cross-functional collaboration RDS database Machine learning frameworks Prototypes Software architecture

Generative AI Full Job Description 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.

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 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