Generative AI lead
Tasks
- Assess model hallucinations
- Build LLM applications
- Collaborate with stakeholders on business requirements
- Create LLM guardrails
- Deploy generative models to production
- Design knowledge graph RAG
- Develop APIs with FastAPI
- Develop agentic AI solutions
- Develop multi-agent systems
- Engineer prompts for instruction based LLMs
- Implement retrieval-augmented generation
- Integrate LLMs with vector databases
- Serve and retrain models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Bedrock | Azure | Chunking | Data Lake | Elasticsearch | FastAPI | Function Calling | Graph Database | Graph RAG | Guardrails | Intent Based Routing | Knowledge Graph RAG | Knowledge graph | Kubernetes | Langgraph | Language Models | Large Language Models | Llamaindex | MCP | MarkLogic | Model Serving | NLQ to SQL | Neo4j | NoSQL | OpenAI on Azure | PostgreSQL | Prompt engineering | Python | RAG Fusion | RDBMS | Retraining | Retrieval-Augmented Generation | Serverless | Tools Register | Training | Vector Database
Education
N/A
Roles
Engineer | GenAI Lead | Lead | Learning Engineer | Machine Learning Engineer
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