The role operates within established architectural direction and is accountable
for delivering reliable, maintainable, and production ready solutions that meet
business, security, and compliance requirements.

The role:

* Design, build, and test multi‑step agent workflows using established patterns
such as ReAct, planner‑executor, and tool‑chaining
* Integrate LLMs (i.e. Claude and OpenAI) with enterprise APIs and internal
systems, including robust handling of retries, edge cases, and degraded
states
* Implement tool calling, function orchestration, and compensating actions to
ensure workflows remain stable under failure conditions
* Design and implement human‑in‑the‑loop controls, including approvals,
escalations, and exception handling where required by business logic or risk
considerations
* Collaborate with product managers, domain experts, and technical stakeholders




to refine requirements and translate them into technical designs
* Develop, maintain, and version prompt logic and supporting documentation in
line with agreed standards
* Build and manage agent memory and retrieval mechanisms using vector databases
and retrieval‑augmented generation (RAG), ensuring context remains relevant
and high‑signal
* Deploy AI services to production environments and actively monitor logs,
traces, and metrics to detect and resolve issues
* Contribute to test coverage, operational runbooks, and incident response
practices in collaboration with QA and operations teams
* Support continuous improvement of system reliability, performance, and
maintainability

📌 Agentic AI Developer (Ciudad de México)
🏢 WTW
📍 Ciudad de México