Job Description
Design and lead the development of scalable secure enterprise-grade AI systems across multiple domains.
What You Will Own
- End-to-end LLM application architecture
- Design of multi-agent systems tool-calling workflows and AI pipelines
- Enterprise-grade RAG architecture (multi-tenant secure scalable)
- Define AI engineering standards patterns and best practices
- Guide team across RAG workflows backend and deployment
- Drive performance cost optimization and reliability
Core Expertise Required
- Strong experience in LLM systems design (NOT just API usage)
- Deep knowledge of:
- Tool calling structured outputs function routing
- Prompt workflow engineering (production-level)
- Advanced RAG systems:
- Hybrid retrieval (vector keyword)
- Re-ranking filtering access control
- Multi-tenant knowledge isolation
- Experience with:
- vLLM / TGI / model serving (preferred)
- Caching batching latency optimization
- Strong understanding of:
- Evaluation frameworks (quality regression)
- LLMOps (monitoring drift iteration loops)
- Security-first mindset:
- Prompt injection defense
- Data isolation PII handling
What Makes You Exceptional
- You think in systems not features
- Youve built production AI systems (not demos)
- You can take ownership of architecture decisions
Required Skills:
LLMVLLMRAGTGIAPI Gateway
Job Description Design and lead the development of scalable secure enterprise-grade AI systems across multiple domains. What You Will Own End-to-end LLM application architecture Design of multi-agent systems tool-calling workflows and AI pipelines Enterprise-grade RAG architecture (multi-tenant sec...
Job Description
Design and lead the development of scalable secure enterprise-grade AI systems across multiple domains.
What You Will Own
- End-to-end LLM application architecture
- Design of multi-agent systems tool-calling workflows and AI pipelines
- Enterprise-grade RAG architecture (multi-tenant secure scalable)
- Define AI engineering standards patterns and best practices
- Guide team across RAG workflows backend and deployment
- Drive performance cost optimization and reliability
Core Expertise Required
- Strong experience in LLM systems design (NOT just API usage)
- Deep knowledge of:
- Tool calling structured outputs function routing
- Prompt workflow engineering (production-level)
- Advanced RAG systems:
- Hybrid retrieval (vector keyword)
- Re-ranking filtering access control
- Multi-tenant knowledge isolation
- Experience with:
- vLLM / TGI / model serving (preferred)
- Caching batching latency optimization
- Strong understanding of:
- Evaluation frameworks (quality regression)
- LLMOps (monitoring drift iteration loops)
- Security-first mindset:
- Prompt injection defense
- Data isolation PII handling
What Makes You Exceptional
- You think in systems not features
- Youve built production AI systems (not demos)
- You can take ownership of architecture decisions
Required Skills:
LLMVLLMRAGTGIAPI Gateway
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