AI Engineer - Agentic AI & Automation

Roles & Responsibilities

Job Description : AI Engineer – Agentic AI & Automation

Company : Thout.ai

Location : Singapore

About Us

Thout.ai is building next-generation automation tools that generate value-based content and boost productivity across industries. We specialize in integrating frontend, backend, and AI systems into seamless products that empower enterprises and creators. With a strong commitment to AI safety and ethics , we are dedicated to responsible AI adoption that drives innovation while ensuring trust and compliance.

Role Overview

We are looking for an AI Engineer with hands-on expertise in Agentic AI systems, LLM-driven applications, Retrieval-Augmented Generation (RAG), and Generative AI (GenAI) . The ideal candidate will have strong foundations in end-to-end AI pipeline deployment , a passion for AI safety and responsible AI practices , and the ability to work across both system architecture and product implementation .

This role offers the opportunity to co-create automation products that sit at the intersection of AI, productivity, and scalable design .

What You Will Do

• Agent Engineering : Design and build intelligent AI agents capable of decision-making, tool usage (APIs, code execution, databases), and multi-agent collaboration for task delegation and workflow automation.
• RAG & LLM Applications : Develop secure, enterprise-ready RAG pipelines for improving information retrieval, contextual accuracy, and scalability across content intelligence and automation use cases.
• Generative AI Development : Fine-tune transformers and integrate ControlNet, LORA, and diffusion-based models to deliver high-quality content generation across modalities.
• Product & Automation Integration : Work on both frontend (interactive user experiences) and backend (APIs, databases, pipelines) to ensure smooth product delivery.
• Knowledge Management Systems : Build context-aware knowledge agents that empower customer support, content creation, and enterprise workflows.
• AI Safety & Governance : Implement guardrails, ethical guidelines, and monitoring systems to ensure safe, reliable, and compliant AI deployments.
• Collaboration : Work with cross-functional teams on scalable deployment using cloud platforms (GCP, AWS, Azure) and workflow automation tools.

What We’re Looking For

Why Join Us?

Tell employers what skills you have

Information Retrieval

Azure

Pipelines

Google Cloud Platform

Knowledge Management

Automation Tools

Computer Vision

PyTorch

System Design

Python

Engineering Design

Vertex

API

System Architecture

Databases

FastAPI