AI Engagement Manager
Tasks
- Build agentic AI conversational AI chatbots and AI assistants
- Build vector databases and semantic search
- Create LLM orchestration and prompt pipelines
- Deliver production-grade solutions
- Design build and code AI ML GenAI and agentic AI solutions
- Develop data ingestion and processing pipelines
- Drive enterprise GenAI adoption
- Implement RAG pipelines and multi agent orchestration
- Implement model training and inference layers
- Integrate APIs and deploy applications
- Lead AI transformation programs
- Manage end-to-end client engagements
- Own POC to production lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | Agentic AI | Autogen | CrewAI | DAG | Deep learning | Distributed Systems | Generative AI | GraphDB | Guardrails | LLM Gateway | LLM orchestration | Langchain | Langgraph | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Semantic Kernel | Semantic Search | State machines | Vector Database | Workflow Orchestration
Education
N/A
Roles
AI | AI Engagement Manager | AI Program Manager | Engagement Manager | Manager | Program Manager
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