Ingeniero de IA Aplicada
Guadalajara, Jalisco, Mexico
MXN 228K-240K (estimate) Mid-level Full Time
Tasks
- Build agent graphs with tool use function calling memory management human in the loop and guardrails
- Create automated LLM quality evaluations with eval datasets LLM as judge and regression tests
- Ensure secure interoperability with enterprise LLM gateway and validate Responsible AI compliance
- Implement RAG pipelines including ingestion chunking embedding vector indexing retrieval reranking and generation
- Implement end to end generative AI agent solutions
- Implement input output validation content filtering PII detection masking prompt injection prevention rate limiting and cost controls
- Integrate LLM agents using modern interoperability protocols MCP and A2A
- Integrate evaluation suites into CI CD pipelines and run tests on prompt model and configuration changes
Perks/Benefits
- Additional vacation bonus
- Birthday day off
- Christmas bonus
- Discounts on purchases
- Family protection club
- Pleasant work environment
- Profit sharing
- Savings fund
- School supplies
- Study scholarships
- Vacation days
Skills/Tech-stack
A2A | AWS | Agent memory | Azure | CI/CD | Content Filtering | CrewAI | Embeddings | Function Calling | Generative AI | Google Cloud | Guardrails | Human-in-the-loop | Injection prevention | Langchain | Langgraph | Language Models | Large Language Models | MCP | PII Detection | Prompt injection | Prompt injection prevention | RAG | Retrieval and reranking | Semantic Kernel | The Loop | Tool use | Vector Databases
Education
Roles
AI Engineer | Applied AI Engineer | Engineer | Generative AI Engineer
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