AI / ML Engineer
Bengaluru, BDC14A, India
INR 1800K-2800K (estimate) Mid-level Full Time
Tasks
- Apply prompt protection strategies
- Budget tokens and context windows
- Coordinate multi-agent systems
- Design AI system architecture
- Design knowledge management systems
- Enable plan and execute strategies
- Evaluate and select LLM models
- Implement RAG and hybrid search
- Integrate API gateway for security
- Integrate LLMs into enterprise systems
- Lead proof of concept for agent based applications
- Optimize cost and resource utilization
- Orchestrate agents
- Perform Gen AI threat modeling
Perks/Benefits
- N/A
Skills/Tech-stack
AI Refinery | AI Safety | API Gateway | API Integration | Agent Orchestration | Autogen | Context Window Budgeting | Context window | CrewAI | Function Calling | Gen AI | Gen AI Safety | Hybrid search | Langgraph | Language Models | Large Language Models | Model Context Protocol | Prompt protection | RAG | Retrieval-Augmented Generation | Threat modeling | Token budgeting | Vertex AI
Education
N/A
Roles
AI | AI Architect | AI/ML Engineer | Architect | Engineer | ML Engineer
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