AI Engineer
Tasks
- Build LLM applications and AI agents
- Build REST and gRPC microservices
- Deploy and operate AI workloads on Azure
- Design AI and generative AI solutions
- Develop RAG pipelines
- Implement AI governance and security controls
- Integrate AI solutions with enterprise platforms
- Prototype PoCs and pilots for production readiness
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Foundry | AI Search | API Versioning | Agent systems | Audit Logging | Automated Evaluation | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Azure OpenAI Service | Context Management | Event Driven | Event-driven architecture | Experiment tracking | GRPC | LLM | MLOps | Microservices | Model Monitoring | Model versioning | Multi-Agent | Multi-Agent Systems | OpenAI Service | Orchestration frameworks | Prompt engineering | Prompt versioning | Python | RAG | RBAC | REST APIs | Retrieval-Augmented Generation | Structured Output | Tool-Calling | Traceability
Education
Roles
AI | AI Engineer | Engineer
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