CloudMile Hiring! Full Time AI Engineer (Generative AI Applications) in - Ricebowl

【About CloudMile】

At CloudMile, we help enterprises accelerate their transformation journey with Cloud, Data, and AI solutions.

As a leading Google Cloud partner in Asia, we work with customers across industries to modernize platforms, build AI-powered applications, and drive Generative AI adoption at enterprise scale.

Our team works on cutting-edge initiatives across:

• Generative AI & Agentic AI Applications
• AI Assistants & Conversational Platforms
• Enterprise AI Automation
• AI-Powered Analytics & Knowledge Systems
• Cloud-Native Application Development
• Data & AI Platforms

We are looking for a hands-on AI Engineer who is passionate about building real-world Generative AI applications and intelligent systems for enterprise use cases.

【About The Role】

As an AI Engineer, you will design and develop enterprise-grade Generative AI applications, AI agents, and intelligent workflow solutions.

You will work closely with solution architects, consultants, and customers to deliver AI-powered systems that integrate with real business workflows and enterprise platforms.

This role is highly engineering-focused and ideal for someone who enjoys building end-to-end AI applications, from backend services and orchestration logic to LLM integrations, AI agents, and cloud deployment.

You will also have opportunities to work on emerging technologies such as Agentic AI, multi-agent systems, RAG architectures, MCP integrations, and enterprise AI platforms.

【Key Responsibilities】

Generative AI Application Development

• Design and develop enterprise-grade Generative AI applications
• Build AI agents, copilots, and workflow automation solutions
• Develop Retrieval-Augmented Generation (RAG) pipelines and knowledge-based AI systems
• Integrate LLMs with enterprise systems, APIs, databases, and external tools
• Implement prompt engineering, orchestration, memory, and tool-calling capabilities
• Optimize AI application performance, reliability, and scalability

Backend & Platform Engineering

• Develop backend services and APIs for AI applications
• Design scalable microservices and cloud-native architectures
• Build real-time AI applications with streaming and asynchronous workflows
• Implement authentication, RBAC, observability, and monitoring
• Support deployment, CI/CD, and production operations

Cloud & AI Infrastructure

• Deploy and manage AI applications on cloud platforms such as:
• Google Cloud Platform (preferred)
• AWS
• Microsoft Azure
• Work with AI and cloud services such as:
• Vertex AI
• Bedrock
• OpenAI APIs
• Vector databases
• Cloud Run / Kubernetes
• Contribute to reusable AI frameworks and internal engineering accelerators

Collaboration & Delivery

• Work closely with customers and internal teams during implementation and delivery
• Participate in technical discussions, workshops, and solution design sessions
• Mentor junior engineers and contribute to engineering best practices
• Support experimentation and evaluation of new AI technologies

【Requirements】

Core Technical Skills

• 5+ years of experience in software engineering, AI engineering, or related fields
• Strong hands-on programming experience in Python
• Experience building backend applications and APIs
• Experience developing Generative AI or LLM-powered applications
• Familiarity with:
• RAG architectures
• AI agents and orchestration frameworks
• Prompt engineering
• Vector databases
• LLM APIs and integrations
• Experience with cloud-native development and deployment
• Experience with Docker and CI/CD pipelines
• Good understanding of software architecture and system design principles

Preferred Technologies

• LangChain / LangGraph
• MCP / Tool Integration Frameworks
• FastAPI / Node.js
• PostgreSQL / MongoDB
• Redis / PubSub / Queue systems
• Kubernetes / Cloud Run
• Vertex AI / Gemini / OpenAI / Claude APIs
• GitHub Actions / Terraform

Bonus Experience

• Experience in Data Engineering or Analytics projects
• Experience with BigQuery, Snowflake, or Databricks
• Experience building enterprise data pipelines or data platforms
• Experience working in SI, consulting, or enterprise project delivery environments
• Exposure to MLOps or model deployment workflows

Soft Skills

• Strong ownership and problem-solving mindset
• Fast learner with strong curiosity in AI technologies
• Good communication and stakeholder management skills
• Able to work independently in a fast-paced environment
• Passionate about building impactful AI products and solutions

【Why Join Us】

• Work on real-world enterprise AI projects across Southeast Asia
• Build cutting-edge Generative AI and Agentic AI solutions
• Opportunity to shape next-generation AI platforms and digital workforce solutions
• Exposure to modern cloud and AI ecosystems
• Fast-growing and collaborative engineering culture
• Clear growth opportunities into AI Delivery Lead or AI Architect roles
• Company-sponsored training and certifications