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 Senior Engineer 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 collaborate with 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
Hands-On Agentic & Knowledge Systems Development:
- Architect & Code: Build multi-modal LLM workflows and autonomous agentic systems using modern 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, and data leakage using core AI Security principles.
- Production MLOps, Eval & PerformanceLLM Ops: Build automated pipelines for continuous model evaluation (e.G., RAGAS, TruLens), energetic prompt versioning, and latency tracking.
- Cost & Throughput Optimization: Optimize token consumption, context window management, caching, and model inference costs across multi-cloud deployments.
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📌 Senior Ai/Ml Engineer (Avadi)
🏢 Giggso
📍 Avadi