About Giggso

At Giggso, we bridge the gap between high-level AI strategy and code-level execution. We build context-aware, secure enterprise AI engineering solutions across core Business Operations (Sales, Support, RevOps) and AI Security Operations.

Moving far beyond basic RAG and static prompts, Giggso builds foundational Data & Knowledge Layers—turning raw unstructured data and enterprise ontologies into trustworthy, audit-ready AI agents. From multi-modal agentic architectures to proactive AI red teaming and security guardrails, Giggso ensures enterprise AI operates reliably at scale.
Role Overview

We are seeking a high-ownership, hands-on AI / LLM Engineering Tech Lead to drive the technical execution of our core AI platforms. In this role, you will bridge deep architectural vision with direct code-level execution. You will lead an agile engineering pod building enterprise-grade Agentic Workflows, Knowledge Graphs, and AI Security Safeguards.

If you are driven by passion and innovation, determined to bend the limits to build something truly transformative — this role is for you.




Key Responsibilities
Architectural Leadership & Pod Execution
Lead an engineering pod (AI/ML Engineers, Full-Stack Developers, and DevOps) to ship low-latency, production-ready AI features.
Translate high-level blueprints into actionable technical specifications, clean codebases, and sprint backlogs.
Enforce engineering excellence through code reviews, automated CI/CD testing protocols, and robust error-handling standards.
Hands-On Agentic & Knowledge Systems Development
Architect & Code: Build multi-modal LLM workflows and autonomous agentic systems using contemporary orchestration frameworks.
Knowledge Layer Integration: Implement knowledge graphs, dynamic ontologies, and advanced vector retrieval strategies (Hybrid Search, GraphRAG, Re-ranking) that go beyond standard naive RAG.
AI Security & Guardrails: Deploy active safeguards against prompt injection, model jailbreaks, hallucination

📌 AI/ML Tech Lead (Chennai)
🏢 Giggso
📍 Chennai