AI Engineer (Guerrero)

AI Engineer (Guerrero)

12 ago
|
Brillio
|
Guerrero

12 ago

Brillio

Guerrero

AI/ML Engineer

Primary Skills
- Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

Specialization
- Data Science Advanced: Data Specialist

Job requirements

About the Role

We are looking for highly motivated AI Engineers to design, build, and deploy next-generation AI agents and autonomous workflows that solve real business problems. You will work closely with product, operations, and business teams to create production-grade agentic applications powered by LLMs, enterprise data, and modern AI orchestration frameworks. This role is idóneo for engineers who enjoy rapid experimentation, solving ambiguous problems, and turning AI prototypes into scalable enterprise solutions.





What You’ll Do
- Design, build, and deploy AI agents and multi-agent systems using modern LLM frameworks and enterprise AI platforms
- Develop agentic workflows for business functions such as Finance, Legal, Operations, Sales, Support, and Growth
- Build production-ready applications using LLMs, RAG pipelines, tool calling, memory systems, and orchestration frameworks
- Integrate AI agents with enterprise platforms such as Google Workspace, Slack, CRM systems, internal APIs, databases, and knowledge repositories
- Evaluate and leverage foundation models across providers (Gemini, OpenAI, Anthropic, open-source models, etc.) based on use case requirements
- Work closely with business stakeholders to identify opportunities, prototype solutions rapidly, and iterate based on user feedback
- Create reusable agent frameworks, prompt libraries, evaluation pipelines, and deployment patterns
- Implement

📌 AI Engineer (Guerrero)
🏢 Brillio
📍 Guerrero

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