AI Engineer R
Job Location:
Job Location:
Guadalajara - Mexico
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
Yesterday
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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
AI Engineer Agentic AI Platforms & Applications
About the Role
What Youll 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 observability guardrails evaluation and monitoring for AI applications in production
- Optimize agent performance for latency accuracy reliability and cost
- Contribute to internal best practices around agent architecture prompting RAG and AI engineering standards
- Stay current with emerging trends in autonomous agents AI infrastructure and enterprise AI adoption What Were Looking For
- Strong software engineering fundamentals with experience building scalable backend or full-stack applications
- Hands-on experience with LLMs and modern AI application development
- Experience building AI agents autonomous workflows or agentic applications
- Familiarity with frameworks such as LangChain LangGraph CrewAI Google ADK AutoGen Semantic Kernel or similar
- Strong understanding of: o RAG architectures o Prompt engineering o Vector databases o Tool/function calling o AI workflow orchestration o Context and memory management
- Experience working with cloud platforms such as Google Cloud AWS or Azure
- Experience with Vertex AI Gemini Enterprise OpenAI APIs or similar enterprise AI platforms is a strong plus
- Familiarity with APIs microservices event-driven systems and enterprise integrations
- Comfortable working in ambiguous environments with evolving requirements and rapid experimentation cycles
- Strong communication skills and ability to collaborate with both technical and non-technical stakeholders
- Builder mindset with strong ownership and execution capabilities
Preferred Qualifications
- Experience deploying AI applications into production environments
- Familiarity with AI evaluation frameworks observability and guardrails
- Experience with Google Workspace APIs Slack integrations or enterprise automation tools
- Knowledge of fine-tuning model optimization or open-source LLM deployment
- Exposure to multi-agent coordination and autonomous decision-making systems
- Experience working in fast-paced startup or innovation environments
Experience
- 48 years of software engineering experience
- 2 years of hands-on experience building AI/LLM-powered applications preferred Nice to Have
- Experience with Python-based AI ecosystems
- Knowledge of vector databases such as Pinecone Weaviate Chroma or Vertex AI Vector Search
- Experience with Kubernetes Docker CI/CD and cloud-native deployments
- Contributions to open-source AI projects or experimentation with emerging agentic frameworks
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
