Responsibilities
Design and own the agent systems architecture — retrieval, orchestration, tool integration, and evaluation — as a coherent, production‐grade platform
Build RAG pipelines that ground agents in real CargoSprint data: indexing strategies, chunking, embedding models, retrieval evaluation, and freshness maintenance
Design orchestration patterns for multi‐step agentic workflows using LangGraph or equivalent — with explicit attention to failure modes, non‐determinism, and graceful degradation
Build and maintain the tool and integration layer that connects agents to production systems — Salesforce, HubSpot, Postgres, internal APIs — with the error handling and retry logic that production demands
Instrument everything: distributed tracing, latency dashboards, retrieval quality metrics, LLM output evaluation pipelines
Establish reusable agent primitives and internal engineering patterns so the team builds the next agent faster and more reliably than the last one
Partner with the engineers building individual agents to review architectures, catch design mistakes early,



and raise the overall quality bar
Travel to CargoSprint's Guadalajara office as needed to work directly with the operational teams whose workflows the agents are being built around
Use AI coding tools to accelerate your own development and set the standard for how the team works with them
Requirements
~8+ years of engineering experience, with meaningful time spent building systems that run reliably under real production load
~ A track record of technical decisions you made, owned, and lived with — including the ones that turned out to be wrong and what you did about them
~ Strong business judgment — you understand that a technically elegant agent nobody uses is a failure. You can read a workflow, identify the real cost, and design for adoption, not just correctness.
~ Excellent communication in English — you can explain a retrieval architecture to a product manager and a vector indexing strategy

📌 Staff Engineer, Agent Systems (Ciudad de México)
🏢 Jobtailor
📍 Ciudad de México