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Role: Applied AI Automation Engineer

Location: Philippines/India (Preferred overlap with SG hours)
Work Mode : Flexible / Remote
Department : Innovation
Reports to: Head of Engineering

Role Summary
We are looking for an Applied AI Automation Engineer who will partner closely with our digital experts to identify repetitive workflows, design human-in-the-loop automation systems, and deploy practical AI-powered internal tools.

You’ll own the full lifecycle from architecture and orchestration to deployment and monitoring, turning real business processes into reliable, AI-driven systems.
This role is for builders who have shipped production AI systems, not just prototypes.

The ideal candidate combines solid technical execution with product thinking and can work cross-functionally with non-technical stakeholders to deliver meaningful automation impact.

Key Responsibilities
Understand existing workflows and identify processes suitable for automation
Map current-state vs future-state workflows and prioritize automation opportunities based on ROI, complexity,



and risk
Design and deploy LLM-powered agents with tool use, memory, and multi-step reasoning
Build automated workflows using frameworks like Lang Graph, Crew AI, or Auto Gen
Develop RAG pipelines and integrate with vector databases (e.g., Pinecone, Qdrant)
Implement human-in-the-loop systems, guardrails, and fallback logic
Integrate with external tools via APIs, webhooks, and MCP
Monitor systems for performance, cost, and reliability
Required Skills and Experience
3+ years building and deploying LLM/AI systems in production
Strong experience with agent frameworks (Lang Graph, Crew AI, Auto Gen, or similar)
Proficiency in Python and/or Type Script
Experience with RAG, vector databases, and semantic search
Solid understanding of prompt engineering and LLM reliability
Hands-on experience with APIs, cloud deployment, and system integration
We Offer
Global Collaboration:

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📌 Applied Ai Automation Engineer (Baddi)
🏢 Avyan Global
📍 Baddi