AI Engineer
Cargomatic2 months ago
Base Salary
$150k - $210k/yr
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 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 and automation tooling.
- Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate risks.
- Contribute to architectural standards, technical best practices, and innovation initiatives.
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, OpenAI, or similar LLM APIs, including prompt design.
- Experience with code-based AI frameworks such as LangChain or AutoGen.
- Experience building or orchestrating workflows using n8n or similar tools.
- Experience with event-driven architectures and real-time systems.
- Familiarity with vector databases and retrieval-augmented generation.
- 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.
- Familiarity with databases such as MongoDB and RDS.
- Experience integrating third-party APIs and building microservices.
- Ability to move quickly from concept to prototype to production.
- Active GitHub contributions or demonstrated passion for emerging technologies in AI.
Benefits
- Competitive compensation.
- Medical, dental, and vision benefits.
- 401K company match program.
- Flexible paid time off (PTO) and paid holiday.