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AI Engineer

Cargomatic
CompanyCargomatic
CategoryEngineering
LocationSan Francisco
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryUSD 150k–210k
Posted6 Jun 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Cargomatic is the #1 technology platform and digital marketplace for powering world-class, local trucking, transforming the $82 billion local trucking industry. 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. 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. • Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks. Preferences: • 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).