AI Engineer

Cargomatic•San Francisco, CA

14h•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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

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.