AI Engineer
Tasks
- Apply guardrails to mitigate hallucinations bias data leakage and misuse
- Apply prompt engineering orchestration evaluation and monitoring
- Build and integrate LLM capabilities such as RAG summarization classification extraction and reasoning
- Contribute to CI/CD pipelines and DevOps processes
- Design develop and maintain AI applications
- Develop and enhance solutions using LLMs and agentic AI frameworks
- Ensure AI and GenAI compliance with governance security and responsible AI standards
- Follow test driven development code reviews refactoring and clean system design
- Implement controls for transparency traceability auditability and reproducibility
- Implement machine learning NLP and GenAI solutions
- Integrate AI services with data science platforms and APIs
- Support production readiness scalability performance reliability and maintainability
- Work with structured and unstructured data including embeddings and vector retrieval
Perks/Benefits
- Collaborative workspaces
- Employee resource groups
- Flexible working arrangements
- Global orientation program
- Learning opportunities
Skills/Tech-stack
API Integration | Agentic AI | Auditability | CI/CD | Code review | Data Governance | DevOps | Embeddings | GenAI | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Prompt engineering | Refactoring | Reproducibility | Responsible AI | Retrieval-Augmented Generation | Scalability | 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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