Job Description We are looking for highly skilled engineers with hands-on experience building AI-powered agentic workflows for sales and marketing automation . Core Responsibilities Design and develop AI agents for sales and marketing use cases Build and deploy Agentic AI workflows using modern orchestration frameworks Develop RAG pipelines with vector databases and retrieval optimization Integrate LLM-powered systems with enterprise tools and CRM platforms Build production-grade automation workflows with observability and guardrails Collaborate with GTM, product, and engineering stakeholders to translate business requirements into scalable AI solutions Implement evaluation frameworks to improve agent performance and reliability Must-Have Technical Skills AI / Agentic AI Agentic AI frameworks ( LangGraph, CrewAI, AutoGen or equivalent ) Retrieval-Augmented Generation ( RAG ) Prompt engineering and evaluation frameworks Multi-agent orchestration Guardrails / hallucination prevention Programming Python (Mandatory) Strong backend development experience API integrations Workflow Automation n8n / Zapier / automation orchestration platforms CRM / GTM Platforms Hands-on integration experience with: HubSpot Salesforce Other CRM / RevOps / Marketing automation tools Databases / Infrastructure Vector DBs ( Pinecone, Weaviate, pgvector, ChromaDB ) Cloud exposure (AWS / GCP / Azure) Marketing Agent Builder (Preferred Experience) Lead scoring and routing Campaign automation Content generation workflows Customer segmentation Growth automation Sales Agent Builder (Preferred Experience) CRM workflow automation Sales outreach automation Pipeline enrichment Forecasting workflows Revenue operations automation Candidate Profile We're Looking For Strong hands-on implementation experience (not only architecture/advisory) Production deployment experience Experience building end-to-end AI automation systems Excellent communication skills Comfortable working in night shifts