Hands-on ML Engineer for Enterprise AI Agents

Virtuos; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Benefits offered by this job

Relocation support

Comprehensive medical healthcare

Career and international mobility with

Learning opportunities

Job summary

Virtuos invites a hands-on Machine Learning Engineer to Kuala Lumpur to develop an enterprise AI agent platform with a strong backend focus. You will build agent execution and orchestration, integrate enterprise systems, and deliver secure, reliable features from backend services to frontend interfaces.

The role requires 5+ years of software development, deep Python skills (FastAPI, async, REST, PostgreSQL), LLM tool calls, and experience with TypeScript/Vue/React, Docker, and CI/CD.

Qualifications

• 5+ years of professional software development experience including backend and frontend delivery.
• Strong Python skills with FastAPI or similar frameworks, asynchronous programming, REST APIs, SQLAlchemy/Pydantic or equivalent tooling, and PostgreSQL data modeling.
• Hands-on experience with LLM tool calling, agent execution, or workflow orchestration; explain design decisions, context/state management, and failure handling.
• Experience integrating enterprise or third-party systems with API contracts, data mapping, pagination, rate limits, retries.
• Understanding of OAuth 2.0/OIDC, authorization, RBAC, and secure credential handling in applications.
• Ability to build reliable asynchronous workflows with task state, concurrency control, idempotency, and recovery.
• Proficiency in TypeScript and Vue or React, including routing, state management, and reusable components. Vue 3 preferred.
• Experience with automated/integration testing, Git, CI/CD, and Docker; troubleshoot using logs/metrics and evaluate agents against tasks.
• Clear communication with global, cross-functional teams; explain tradeoffs to non-technical stakeholders.

Responsibilities

• Agent platform and orchestration: build and improve agent harnesses, model/tool execution loops, context management, and outputs.
• Implement multi-step workflows with clear execution boundaries, task state, asynchronous dispatch, and human approval when needed.
• Enterprise systems and integrations: develop reusable tools/connectors for APIs, webhooks, services; document dependencies.
• Handle data mapping, user authorization, rate limits, and integration errors; coordinate with system owners.
• Full-stack product delivery: design Python backend services, secure REST APIs, and PostgreSQL data models; build responsive web interfaces with TypeScript and modern frameworks.
• Security and reliability: protect credentials, enforce access boundaries, ensure audit logging; enhance concurrency, retries, idempotency, cancellation, recovery.
• Quality and collaboration: maintain automated/integration tests, CI/CD, agent evaluations; work with product/design/IT/SRE; contribute code reviews and docs.
• Nice to have: LangGraph/LangChain/SDKs, MCP servers/connectors, cloud deployment (AWS), and related experience.

Skills

Python

Asynchronous programming

REST APIs

LLM tool calling

PostgreSQL

TypeScript

Vue/React

Docker

Git & CI/CD

Tools

FastAPI

SQLAlchemy/Pydantic

PostgreSQL data modeling

TypeScript

Vue

React

Docker

Job description

Virtuos invites a hands-on Machine Learning Engineer to Kuala Lumpur to develop an enterprise AI agent platform with a strong backend focus. You will build agent execution and orchestration, integrate enterprise systems, and deliver secure, reliable features from backend services to frontend interfaces.

The role requires 5+ years of software development, deep Python skills (FastAPI, async, REST, PostgreSQL), LLM tool calls, and experience with TypeScript/Vue/React, Docker, and CI/CD.