Senior AI Engineering
Tasks
- Apply security and Responsible AI controls
- Architect LLM enabled systems
- Build APIs with Python
- Configure observability and monitoring
- Create AI engineering frameworks and governance
- Deploy production AI services
- Design enterprise AI applications
- Develop generative AI solutions
- Establish CI/CD practices
- Evaluate LLM platforms
- Implement testing and model evaluation
- Integrate AI into enterprise applications
- Lead and mentor AI engineers
- Partner with Risk and Compliance teams
- Prototype and scale AI pilots
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS | AI Search | Agentic Workflows | Azure AI | Azure AI Search | Azure ML | Azure OpenAI | CI/CD | Cloud Architecture | Data Lineage | Data Pipelines | Databricks | Distributed Systems | Embeddings | FastAPI | Flask | Function Calling | Generative AI | Human-in-the-loop | Injection Protection | LLM | LLMOps | Langchain | Llamaindex | MLOps | Microservices | Model Evaluation | Model Orchestration | Monitoring | Observability | Prompt engineering | Prompt injection | Prompt-injection protection | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Security | Semantic Kernel | The Loop | Tool/function calling | Vector Database | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Engineering | AI Engineering Manager | Engineer | Engineering Manager | Manager | Senior AI Engineer
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