where we look for people who contribute new ideas, experiencing a dynamic and growing environment. where we value different perspectives providing career growth and development opportunities.We are looking for an AI/AIOps Engineer Core requirements (all needed) · Production AI ML around 3+ years designing building and supporting ML or LLM systems used by real users in production. POCs demos and coursework alone are not sufficient. · GenAI/LLM engineering: RAG (chunking hybrid search re ranking) embeddings and vector search tool/function calling structured outputs and handling of incorrect or unsupported answers. · Agentic AI agents or multi-step automations with LangGraph LangChain Semantic Kernel or similar including tools guardrails human approval and audit of actions. · Evaluation defined evaluation sets and metrics measured accuracy or error rates and improved a system based on the results. · AIOps / anomaly detection: time-series anomaly detection and alert-noise reduction on metrics logs or events.
· Python production code with tests (Pandas NumPy scikit learn PyTorch or TensorFlow where relevant). · Production troubleshooting: live incidents on Linux (CPU memory disk network) Java (heap GC thread dumps) and Python. · Observability tools Splunk (SPL dashboards alerts) plus one of Prometheus OpenTelemetry Dynatrace or similar. · RCA/AIOps tooling has built or contributed significantly to RCA AIOps or incident-analysis tooling.
Job Types: Full-time, Permanent
Pay: $60,000.00 - $70,000.00 per month
Application Question(s)
- Can you work in a hybrid arrangement in Guadalajara ?
- Have you built AIOps or root-cause analysis tooling?
- How have you evaluated and improved an AI system?
- Do you have at least 3 years of experience building and supporting AI/ML systems used by real users in production?