AI Engineer
Tasks
- Apply security and Responsible AI controls
- Architect LLM enabled retrieval augmented generation systems
- Build APIs and services
- Create reusable AI engineering frameworks and governance
- Deploy generative AI solutions
- Design and develop enterprise AI applications
- Establish CI CD testing and model evaluation practices
- Evaluate LLM platforms for accuracy latency cost security and explainability
- Implement observability and performance optimization
- Integrate AI into enterprise applications and workflows
- Lead mentoring and day to day technical leadership
- Partner with cross functional teams for compliance and risk
- Prototype with stakeholders and scale pilots
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS | AI Search | API Design | Access Control | Agentic Workflows | Azure AI | Azure AI Search | Azure ML | Azure OpenAI | CI/CD | Cloud Architecture | Data Pipelines | Data Privacy | Databricks | Distributed Systems | Embeddings | Explainability | FastAPI | Flask | Human-in-the-loop | LLMOps | Langchain | Llamaindex | Logging | MLOps | Microservices | Model Evaluation | Model Governance | Monitoring | Observability | Prompt engineering | Prompt injection | Prompt injection mitigation | Python | Responsible AI | Retrieval-Augmented Generation | Security | Semantic Kernel | Testing | The Loop | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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