AI Engineering Lead
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Job Description
AI Engineering Lead building and scaling AI systems at Kiwi. Focused on performance, reliability, and cost while driving an AI-native engineering culture.
Responsibilities:
- Lead the evolution of LLM and agent-based architectures
- Design systems for high concurrency (voice, chat, event-driven)
- Improve orchestration, observability, and control layers
- Solve real production challenges: latency, stability, cost
- Drive an AI-native engineering culture
Requirements:
- 9+ years in software development and 4+ years in technical leadership
- Must have hands-on experience applying AI in live product environments, working with systems that are actively used and continuously evolving
- Strong background in scalable distributed systems
- Active use of LLMs, agents, or automation in real-world systems
- Comfortable working across the stack, with a solid understanding of modern web architectures
- Experience working in cloud environments (AWS or similar)
- High ownership and execution mindset
- Hands-on experience with PostgreSQL or other relational databases.
- Fluent English communication
- Preferred: experience in fintech or digital financial products
Benefits:
- The opportunity to scale AI systems that are already in production, not starting from scratch
- Direct impact on architecture and product decisions at a company-wide level
- Real-world challenges around concurrency, latency, and AI system reliability
- A fast-moving environment where ideas quickly turn into production
- Fully remote (Colombia / Argentina)
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