GEN AI ARCHITECT

1. Advanced Agentic Orchestration

• Design and implement complex, stateful multi-agent systems

using LangGraph or CrewAI.

• Build "Agentic RAG" pipelines that utilize LlamaIndex or Haystack or similar for

advanced reasoning over structured and unstructured datasets.

• Implement custom tool-calling logic and Model Context Protocol (MCP) integrations

to connect agents with internal databases and APIs.

1. AI Safety & Governance (The Guardrails Layer)

• Architect a unified "Safety Perimeter" using Guardrails AI or NVIDIA NeMo Guardrails or similar.
• Develop real-time monitoring and observability for LLM inputs/outputs using Arize

Phoenix, LangSmith (OSS version), or MLflow or similar.

Must-Have Open Source Expertise Languages Expert-level Python (asyncio, Pydantic v2) and TypeScript/Node.js. Orchestration LangGraph, CrewAI, or AutoGen (OSS SDK). Inference/Serving vLLM, Hugging Face TGI, or Seldon Core. Safety & Trust Guardrails AI, NeMo Guardrails, or Meta Llama Guard. Vector Databases Milvus, Weaviate, Qdrant, or ChromaDB. Observability Arize Phoenix, OpenTelemetry, or Prometheus/Grafana. Infrastructure Docker, Kubernetes (K8s), and Terraform/Pulumi.

Desired Candidate Profile

Experience Level: Senior (6+ Years in Software Engineering, 2+ Years in GenAI) Stack Focus: LangGraph, CrewAI, Guardrails AI, React, Kubernetes