Senior AI Engineer
Tasks
- Apply guardrails to mitigate hallucinations bias and data leakage
- Apply prompt engineering orchestration evaluation monitoring
- Apply test driven development code reviews refactoring modular design
- Build LLM powered RAG summarization classification extraction reasoning
- Contribute to CI/CD pipelines and monitoring
- Design machine learning applications
- Develop LLM solutions using LangChain and LangGraph
- Ensure AI governance risk and compliance
- Ensure scalability performance reliability and maintainability
- Handle confidential sensitive regulated data
- Implement auditability traceability and reproducibility controls
- Implement machine learning NLP and GenAI solutions
- Integrate AI services with data science platforms and APIs
- Process structured and unstructured data using embeddings
- Support audits reviews and regulatory requirements
Perks/Benefits
Skills/Tech-stack
Auditability | Azure | CI/CD | Cloud Computing | Cloud platform | Code review | Data Governance | DevOps | Embeddings | GenAI | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Risk Management | Model risk | Modular Design | Natural Language | Natural Language Processing | Prompt engineering | Python | Refactoring | Reproducibility | Responsible AI | Retrieval-Augmented Generation | Risk Management | Test-Driven | Test-Driven Development | Text processing | Traceability | Vector Databases | Version control
Education
Roles
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