Senior AI Engineering
Tasks
- Architect LLM enabled solutions
- Build production grade services and APIs
- Create reusable AI engineering frameworks and governance controls
- Design develop and deploy enterprise AI applications
- Ensure regulatory privacy auditability and operational risk compliance
- Establish CI CD testing and evaluation practices
- Evaluate LLM platforms for accuracy latency cost and security
- Implement observability performance optimization security
- Integrate AI capabilities into enterprise platforms
- Lead mentor and manage AI engineering teams
- Prototype with stakeholders and scale 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 Pipelines | Databricks | Distributed Systems | Embeddings | FastAPI | Flask | Function Calling | Hallucination mitigation | Human-in-the-loop | LLM orchestration | LLMOps | Langchain | Llamaindex | MLOps | Microservices | Model Evaluation | Model Governance | Observability | Prompt engineering | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Security | Semantic Kernel | Testing | The Loop | Tool/function calling | Vector Databases | Vector Search
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | AI Engineering | AI Engineering Manager | Engineer | Engineering Manager | Manager | Senior AI Engineer
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