Pull Logic is transforming the retail supply chain with a revolutionary availability-oriented paradigm that directly links customer preferences with real-time inventory. Backed by cutting-edge research from Georgia Tech's School of Industrial and Systems Engineering, our AI-driven SaaS platform helps retailers and brands reduce lost sales, improve profitability, and elevate customer satisfaction.

We're looking for a Principal AI Engineer (Agentic Systems) to join our core technology team. This is a unique prospect to shape the foundation of Pull Logic's enterprise-grade Retail Tech products and work on solutions that have a direct impact on how modern retailers operate.

What You'll Do
Lead the architecture, design, and technical roadmap of Pull Logic's AI Initiatives.
Build a scalable conversational + agent-based AI platform using GCP, Gemini, LangChain, LangGraph, and other technologies.
Design multi-agent orchestration, safety guardrails, fallback strategies, and governance frameworks.
Convert prototypes into robust, secure, production-ready enterprise AI products.




Establish engineering best practices: reviews, testing discipline, release management, observability.
Own AI reliability, latency, cost optimization, and performance.
Define evaluation frameworks for accuracy, safety, hallucination control, and continuous improvement.
Lead and mentor a growing AI engineering team.
Collaborate closely with Product Manager, CTO, and Customer Engineering teams.
Ensure alignment with SOC2 and enterprise security expectations.

What We're Looking For
8–15 years total engineering experience.
Minimum 3–5 years in Applied AI / ML / AI Platform Engineering.
Proven experience leading engineering teams or acting as a principal / technical lead.
Demonstrated experience building and deploying production multi-agent AI systems (not just POCs).
Hands-on experience designing and deploying multi-agent AI systems, including agent orchestration, planning, tool usage, and inter-agent

📌 Principal AI Engineer (India)
🏢 Pull Logic
📍 India