Agentic AI Developer | Build Intelligent AI Agents
All potential candidates should read through the following details of this job with care before making an application.
We're building AI agents that proactively solve customer problems before they happen — and resolve issues faster when they do.
What You'll Do: Design and deploy multi-agent AI systems that understand business workflows, break down complex problems, and adapt in real-time. You'll translate stakeholder needs into working agentic solutions across billing, activation, and troubleshooting domains.
Required (hands-on in last 3–4 years):
Python, SQL/BigQuery/GCP
Prompt engineering & SOTA LLMs (GPT-4, Claude, etc.)
LangChain/LangGraph, RAG/GraphRAG, vector databases
Multi-agent systems & complex agentic workflows
Agent performance evaluation & optimization
Traditional ML (model selection, monitoring)
Business translation: convert real-world needs into AI/ML workflows (end-to-end context required)
Bonus: Redis, context engineering, advanced multi-agent orchestration xsgimln
Experience: 4+ years AI/ML engineering; 1+ year in agentic/GenAI applications Education: B.S./M.S. in Computer Science, AI, or related field preferred
Deliverables: Orchestrator agent, billing agent, activation agent, troubleshooting agent
Ready to build AI that thinks, adapts, and solves? Apply now.