Senior AI Agent Engineer
Curitiba, State of Paraná, Brazil
A BRL 319K-396K (estimate) Senior-level Full Time
Tasks
- Apply MLOps practices
- Build conversational AI for explainable responses
- Build data pipelines from enterprise sources to AI applications
- Build prompt pipelines for SQL generation
- Conduct AI evaluation testing and prompt refinement
- Deploy scalable production AI applications
- Design and develop AI agents
- Design semantic representations for entities and relationships
- Develop AI powered web features
- Handle ambiguous requests with clarification strategies
- Implement natural language to SQL
- Implement responsible AI principles
- Integrate large language models into production applications
- Map domain terminology to relational data models
- Monitor model performance and application quality
- Reduce hallucinations using evaluation
- Validate generated SQL for correctness security performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon Q | Amazon QuickSight | Amazon RDS | Amazon S3 | Amazon SageMaker | CI/CD | Embedding Models | Hugging Face | Hugging Face Transformers | JSON | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Microsoft SQL | Microsoft SQL Server | Model Monitoring | MySQL | PostgreSQL | Power BI | PyTorch | Python | RAG Architectures | Retrieval-Augmented Generation | SQL | SQL Server | Scikit-learn | Semantic Kernel | Step Functions | TensorFlow | Text-to-SQL | Vector Databases
Education
N/A
Roles
AI | AI Engineer | AI/Agent Engineer | Agent Engineer | Engineer | Senior AI Engineer
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