Gen AI Lead (ME) | Grade - E2
Tasks
- Build multi-agent systems
- Design AI architectures
- Develop production AI solutions
- Engage with clients on AI strategies
- Implement DevOps CI/CD pipelines
- Integrate vector databases and knowledge graphs
- Lead AI platform development
- Mentor cross-functional teams
- Monitor model performance and safety
- Operationalize Large Language Models
- Present proposals and solutions
- Represent organization in executive discussions
- Translate AI concepts to business leaders
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | AI Governance | AI Testing | Agent Frameworks | Agent systems | BigQuery | ChromaDB | Delta Lake | DevOps | Docker | Elasticsearch | GitHub Actions | Hugging Face | Hugging Face Transformers | Java | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Milvus | Model Context Protocol | Model Context Protocol MCP | Multi-Agent | Multi-Agent Systems | Neo4j | Pinecone | Protocol MCP | Python | Redis Vector | Redis Vector Search | Retrieval-Augmented Generation | Scala | Terraform | Vector Search | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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