Ingeniero de IA Aplicada
Tasks
- Apply rate limiting and cost controls
- Build RAG pipelines with ingestion chunking embeddings and vector indexing
- Build end to end generative AI agents
- Create automated LLM evaluation test suites
- Detect and mask PII and prevent prompt injection
- Implement agent graphs with tool use and function calling
- Implement guardrails and safety controls
- Implement input output validation and content filtering
- Integrate agents with business core systems
- Manage agent memory and human in the loop workflows
- Perform retrieval re ranking and generation
- Run evaluations in CI CD for prompts models and configurations
- Validate Responsible AI framework compliance during deployment
Perks/Benefits
- Additional vacation premium
- Birthday day off
- Christmas bonus
- Family protection club
- Paid vacation
- Profit sharing
- Savings fund
- School supplies
- Study scholarships
- Workplace wellbeing discounts for furniture and clothing
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 | LLM | Langchain | Langgraph | MCP | PII Detection | PII masking | Prompt injection | Prompt injection prevention | RAG | Rate Limiting | Re-ranking | Retrieval | Semantic Kernel | The Loop | Tool use | Vector Databases
Education
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