Gen AI - Engineering Lead
Tasks
- Build AI orchestration pipelines
- Build cloud GenAI architectures on AWS GCP and Snowflake
- Create AI evaluation and benchmarking frameworks
- Create AI guardrails for safety and compliance
- Define observability and monitoring strategies for GenAI apps
- Deploy production ready GenAI applications
- Design enterprise GenAI solutions with LLMs
- Develop GenAI prototypes and MVPs
- Develop prompt engineering frameworks
- Develop reusable agents tools and workflow templates
- Implement RAG architectures with vector databases
- Implement multi agent and autonomous workflows
- Implement prompt versioning and lifecycle management
- Improve model performance with prompt tuning and retrieval optimization
- Optimize model deployment inference performance and cost
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | Agentic AI | Benchmarking | CrewAI | Embeddings | Guardrails | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Evaluation | Prompt engineering | Prompt governance | Prompt versioning | Python | RAG | Retrieval-Augmented Generation | Semantic Kernel | Semantic Search | Vector Databases
Education
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