AI Application Engineer (GenAI / RAG) Python
Tasks
- Build LLM powered services in Python
- Build ingestion pipelines and data preparation workflows
- Design and implement RAG based applications
- Design prompt structures and interaction patterns
- Develop conversational advisor assist interfaces
- Ensure responsible AI security privacy and data governance compliance
- Implement agentic workflows using frameworks
- Implement evaluation for retrieval quality and faithfulness
- Implement monitoring logging security and testing
- Integrate structured and unstructured data sources
- Mitigate hallucinations
- Optimize latency cost and relevance
- Package and deploy services using containers and APIs
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
API Development | CI/CD | Cloud Computing | Containers | Embeddings | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | Logging | Monitoring | Python | Responsible AI | Retrieval tuning | Retrieval-Augmented Generation | Security | Testing | Vector Database | Vector Search
Education
N/A
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