AI Engineer (Generative AI Applications)

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 Senior AI Engineer who is passionate about building real-world Generative AI applications and intelligent systems for enterprise use cases.

The Role

As a Senior AI Engineer, you will design and build 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

• 6–8+ years of software engineering, AI engineering or data engineering experience
• 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

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 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 Delivery Lead or AI Architect roles
• Company-sponsored training and certifications