AI Engineer – GenAI & Agentic Systems

About the job

🚀 Build production-grade AI agents at massive scale We’re building agent-driven AI systems that automate pricing, onboarding, analytics, and decision-making. 🔧 What You’ll Build • Production agentic AI workflows (LangGraph / LangChain / MCP) • Multi-step, tool-calling LLM agents for real enterprise workflows • Large-scale RAG pipelines on Databricks • LLM-powered APIs on AWS • Observability, guardrails, and cost-efficient AI systems 🧠 What We’re Looking For • 5–8 years in DS / ML / Backend • 2+ years building production GenAI systems • Expert Python • Databricks + Spark / PySpark • LLMs, RAG, vector search • AWS, Docker, Kubernetes 🌍 Why Us? • Real production systems (not demos) • Massive scale + real revenue impact • High ownership, low bureaucracy • Remote-first, engineering-led culture.

Requirements

• AI Agents
• GenAI
• Databricks
• Python
• AWS
• Docker
• Kubernetes

Qualifications

Preferred Technologies

• AI Agents
• GenAI
• Databricks
• Python
• AWS
• Docker
• Kubernetes