AI Engineer, Agentic Core

Build the shared intelligence layer behind conversational and task-oriented AI agents for customer and internal use. The role covers multi-agent architecture, evaluation, reliability, and model-provider choices, with the aim of turning useful solutions from client work into reusable capabilities. These agents operate across a large, multilingual conversation workload spanning 19 countries.

• Develop multi-agent orchestration, including supervisor patterns, specialist agents, routing, and state management.
• Improve reliability across hundreds of thousands of conversations.
• Create and strengthen evaluations that show whether agent behavior is improving.
• Define how shared frameworks connect with client-specific work, promoting reusable patterns into core systems.
• Help guide model and provider choices across a system that uses multiple providers.
• Debug non-deterministic behavior using traces, guardrails, and fallback strategies.

• At least three years shipping production software, including substantial recent work with LLMs.
• Strong Python or Type Script skills.
• Experience building agentic systems with tool use, multi-step workflows, or autonomous decisions.
• Experience operating non-deterministic software in production and diagnosing its behavior.
• Fluency in Spanish for writing prompts and evaluations.
• Comfort working through ambiguous problems without detailed specifications.

• Experience with evaluation tools such as Lang Smith or similar frameworks.
• Voice agents, telephony, latency optimization, or messaging platforms such as Whats App Business API.
• Multi-tenant design experience, especially systems configured by other engineers rather than copied and modified.