AI Engineer Specialist | Agentic Commerce
Tasks
- Build RAG systems for reliable context to agents
- Build agentic commerce solutions for automation of purchases payments reconciliation
- Create automated tests and evaluation criteria for agent behavior security accuracy and performance
- Design develop evolve LLM based agents for commerce payments
- Develop decision planning memory reasoning execution and exception handling flows
- Evaluate and implement agent interoperability protocols including MCP and A2A
- Implement authentication authorization tokenization credential management and sensitive data protection for payment integrations
- Implement end to end observability with logging metrics tracing quality evaluation cost monitoring and error control
- Integrate agents with REST APIs payment gateways ecommerce platforms microservices and financial systems
- Serve as technical reference support engineers and drive architecture decisions
- Write and review clean resilient scalable and testable Python code
Perks/Benefits
- Dental insurance
- Health insurance
- Life insurance
- Meal voucher
- Professional development programs
- Transportation allowance
Skills/Tech-stack
AI Foundry | Authentication | Authorization | Automated testing | Azure AI | Azure AI Foundry | Azure OpenAI | Data Protection | Digital Identity | Distributed Systems | Docker | Embeddings | Event Driven | Event-driven architecture | Generative AI | Guardrails | Injection prevention | LGPD | Langchain | Langgraph | Language Models | Large Language Models | Logging | Message Queues | Metrics | Microservices | Observability | Open Finance | PCI DSS | Prompt injection | Prompt injection prevention | Python | RAG | REST APIs | Security | Tokenization | Tracing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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