Senior AI Engineer
Tasks
- Apply prompt engineering and evaluation
- Build Retrieval Augmented Generation systems
- Contribute to CI/CD pipelines
- Design and develop AI applications
- Develop LLM-powered features
- Enhance LangChain and LangGraph solutions
- Follow test driven development and code review
- Implement AI governance risk and compliance controls
- Implement machine learning and NLP solutions
- Integrate AI services with platforms and APIs
- Mitigate hallucinations bias and data leakage
- Orchestrate and monitor AI outputs
- Process structured and unstructured data
- Support production readiness and engineering excellence
Perks/Benefits
- Collaborative workspaces
- Employee resource groups
- Flexible working arrangements
- Global orientation program
- Learning and development
Skills/Tech-stack
APIs | Agentic AI | Azure | CI/CD | Cloud Computing | Cloud platform | Code review | Data Governance | DevOps | Embeddings | Evaluation | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Risk Management | Model risk | Modular Design | Monitoring | Natural Language | Natural Language Processing | Prompt engineering | Python | Refactoring | Responsible AI | Retrieval-Augmented Generation | Risk Management | Statistical modeling | Test-Driven | Test-Driven Development | Text processing | Vector Databases | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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