GEN AI ENGINEER ( ARCHITECT)

Job Description Roles & Responsibilities 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. 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 Employment Type Full-time Company Industry RecruitmentPlacement FirmExecutive Search Department / Functional Area IT Software Keywords Generative AILead AI ArchitectGenerative AI ArchitectAI Platform Architect GenAIDataData Fabric Get real-time job updates only on our App