Senior AI Engineer - GenAI & Production LLMs (Remote)

Keyrus; Nezahualcóyotl; Remote; MXN 700,000 - 1,200,000; Full time

Benefits offered by this job

International projects

Continuous learning and professional发展

Career growth and internal mobility

Job summary

Keyrus seeks a Senior AI Engineer to design, build, evaluate, and deploy intelligent GenAI systems that integrate into business processes. You will own AI behavior, reliability, and performance while collaborating with software, data, and governance teams.

You will work on RAG architectures, AI agents, tool use, and enterprise integrations, ensuring scalable, production-ready solutions with measurable business value.

Qualifications

• Hands-on experience designing, developing, and deploying GenAI and LLM-based solutions.
• Proven experience with RAG architectures, AI agents, and multi-step workflows.
• Experience evaluating, monitoring, and optimizing AI systems for reliability, performance, and cost.
• Strong software engineering background, including API development, testing, and enterprise integrations.

Responsibilities

• Design and deploy production-ready GenAI solutions, including RAG systems and intelligent assistants.
• Engineer AI agent behavior, including tool use, context management, memory, routing, failure handling, and human oversight.
• Integrate LLMs, APIs, enterprise applications, and data sources while balancing performance, latency, and cost.
• Build evaluation frameworks, automated tests, and quality controls to measure AI reliability and detect regressions.

Skills

GenAI design

RAG architectures

AI agents

API development

Python

LLM integration

Cloud platforms

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Azure/AWS/GCP

Job description

Keyrus seeks a Senior AI Engineer to design, build, evaluate, and deploy intelligent GenAI systems that integrate into business processes. You will own AI behavior, reliability, and performance while collaborating with software, data, and governance teams.

You will work on RAG architectures, AI agents, tool use, and enterprise integrations, ensuring scalable, production-ready solutions with measurable business value.