Ai Engineering Lead

At Kiwi, AI is already a core part of the product, not an experiment. We design and operate systems powered by LLMs, agents, and automation that interact with users in real time.

The challenge is no longer experimentation, it’s scaling what already works.

We’re looking for an AI Engineering Lead who is hands-on and deeply involved in building and scaling AI systems, to evolve this foundation into more robust architectures capable of handling higher volume, complexity, and concurrent interactions, with a strong focus on performance, reliability, and cost.

What you’ll do

• 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

What we’re looking for

• 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

What we offer

• 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)