This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GenAI Engineer based in Mexico.

This role offers the opportunity to engineer and operate production-grade generative AI systems used by real customers. You will take LLM-powered capabilities from initial concept through development, deployment, monitoring, and continuous improvement. The position combines backend engineering with agentic AI, retrieval-augmented generation, evaluation, and production observability. You will work hands-on with technologies such as LangGraph, Azure OpenAI, Gemini, Claude, and modern cloud services. A major focus will be ensuring high answer quality while optimizing latency, reliability, and infrastructure costs. You will join a technically ambitious environment where your decisions can directly influence how AI-powered products are designed and operated at scale.

Accountabilities
- Build and deliver LLM-powered features end to end, including agentic workflows, retrieval pipelines,



and tool-calling capabilities using LangGraph.
- Develop production-ready FastAPI services with streaming, persistence, automated testing, and appropriate reliability standards.
- Establish and maintain evaluation datasets, regression suites, and LLM-as-a-judge mechanisms to measure answer quality and validate changes before production release.
- Optimize the context provided to models by transforming user questions into effective search queries, orchestrating multi-step research workflows, and improving retrieval and prompt strategies.
- Diagnose incorrect or low-quality responses by determining whether issues originate from retrieval, query formulation, context construction, prompting, or model behavior, and implement targeted improvements.
- Instrument and monitor AI workflows using tracing and observability tools such as Langfuse and Azure Application Insights.
- Investigate production issues using real execution trace

📌 Senior GenAI Engineer (México)
🏢 Jobgether
📍 México