Senior AI Engineer — Remote (LLM, Agents & Automation)

kiwi; Santo Domingo; Remote; COP 287.954.000 - 415.933.000; Vollzeit

Benefits dieser Stelle

100% remote (LATAM)

Collaborative cross-functional team

Zusammenfassung

Kiwi is seeking a Senior AI Software Engineer to build and improve AI systems used across Kiwi’s products and operations. You will work on LLM-powered chat, voice experiences, and agents that use tools to complete tasks, with an emphasis on accuracy, latency, cost, and reliability.

You will collaborate with Product, Design, Operations, and Engineering to understand problems and translate them into real software for customers.

Qualifikationen

• Hands-on experience shipping LLM-powered applications and tool calls.
• Strong backend design skills for reliable APIs and services in production.
• Experience with evaluating and improving AI systems using metrics and traces.

Aufgaben

• Build and operate LLM powered features, including conversational agents, voice experiences, and workflow automations.
• Design how agents use tools, retrieve information, maintain context, and hand off to people or other systems when needed.
• Integrate AI capabilities with Kiwi's backend services, APIs, product flows, and internal tools.
• Improve the quality of AI behavior through evaluations, production feedback, testing, and iteration.
• Investigate and resolve issues involving incorrect responses, failed tool calls, latency, cost, or unexpected behavior in production.
• Design safeguards for actions affecting customers or business processes, including validation and human confirmation where appropriate.
• Contribute to architecture and code reviews, share practical engineering standards, and help other engineers build dependable AI features.

Kenntnisse

LLM tech

TypeScript

Node.js

Python

System design

Back-end APIs

Observability

Tools

AWS

Docker

PostgreSQL

Jobbeschreibung

Kiwi is seeking a Senior AI Software Engineer to build and improve AI systems used across Kiwi’s products and operations. You will work on LLM-powered chat, voice experiences, and agents that use tools to complete tasks, with an emphasis on accuracy, latency, cost, and reliability.

You will collaborate with Product, Design, Operations, and Engineering to understand problems and translate them into real software for customers.