DevOps / Digital Engineer

Symprio Inc.; Kuala Lumpur; On-site; MYR 120,000 - 210,000; Full time

Job summary

Symprio Inc. is seeking AI Engineers (mid to senior) to design, build, deploy and maintain production-grade AI/ML solutions for enterprise use cases in Kuala Lumpur. You will work across Generative AI, LLMs, document intelligence, OCR and automation with AWS cloud services and Terraform-based infrastructure.

You will contribute to the full AI lifecycle, mentor teammates and help define best practices, governance and production readiness in a fast-growing AI engineering team.

Qualifications

• Proficient in Python with hands-on ML experience.
• Experience with ML frameworks such as Scikit-learn, XGBoost, PyTorch or TensorFlow.
• Hands-on with Generative AI and LLM technologies.
• Understanding of prompt engineering, structured extraction, RAG and embeddings.
• Experience with model training, evaluation and deployment.

Responsibilities

• Design, develop, deploy and maintain AI/ML solutions for enterprise use cases.
• Build and integrate Generative AI and LLM-based applications—including: document processing, intelligent information extraction, classification, document and case analysis, RAG and embeddings, and AI-powered chatbots.
• Develop and operationalize machine learning models for classification, prediction, anomaly detection and other business use cases.
• Contribute to computer vision, OCR and document intelligence solutions.
• Build scalable, event-driven and serverless AI processing pipelines.
• Work with AWS AI/ML and cloud services including: Lambda, API Gateway, Step Functions, SageMaker, Bedrock, Textract, S3, DynamoDB, ECR, CloudWatch, VPC/IAM.
• Contribute to the complete AI/ML lifecycle including data preparation, training, evaluation, deployment, inference and monitoring.
• Implement Infrastructure as Code using Terraform.
• Develop and maintain CI/CD pipelines and MLOps workflows.
• Build containerized AI services using Docker.
• Implement testing, logging, monitoring and observability for AI services.
• Work with data engineers, business analysts and business stakeholders to understand requirements and deliver AI solutions.
• Follow AI governance, Responsible AI, data privacy and human-in-the-loop practices.
• Contribute to enterprise AI initiatives across areas such as document processing, fraud detection, claims, underwriting and operational automation.
• Own solution architecture and technical design for AI services.
• Lead AI initiatives from requirements and architecture through production deployment.
• Define technical and integration patterns across AI services.
• Conduct architecture and code reviews.
• Mentor junior and mid-level engineers.
• Establish engineering best practices and quality standards.
• Lead technical discussions with business and technology stakeholders.
• Drive production readiness, monitoring and continuous improvement of AI solutions.

Skills

Python

Scikit-learn

XGBoost

PyTorch

TensorFlow

Generative AI

LLMs

Prompt engineering

RAG & embeddings

Model training

Model evaluation

Model deployment

Terraform

Docker

Git

CI/CD

MLOps

SageMaker

Bedrock

Tools

Terraform

Docker

Git

CI/CD

MLOps

SageMaker

Bedrock

Job description

Location: Kuala Lumpur, Malaysia
Experience: 2+ years
Nationality: Malaysian

About the Role

Symprio is looking for AI Engineers and Senior AI Engineers to join our growing AI engineering team and work on enterprise AI transformation initiatives.

You will be involved in designing, developing, deploying and maintaining production-grade AI and Machine Learning solutions, covering Generative AI, LLM applications, document intelligence, intelligent automation, MLOps and AWS cloud technologies.

We are open to candidates at different experience levels, with responsibilities aligned to their technical experience and seniority.

Key Responsibilities

• Design, develop, deploy and maintain AI/ML solutions for enterprise use cases.

• Build and integrate Generative AI and LLM-based applications, including:

  • Document processing

  • Intelligent information extraction

  • Classification

  • Document and case analysis

  • RAG and embeddings

  • AI-powered chatbots

• Develop and operationalize Machine Learning models for classification, prediction, anomaly detection and other business use cases.

• Contribute to computer vision, OCR and document intelligence solutions.

• Build scalable, event-driven and serverless AI processing pipelines.

• Work with AWS AI/ML and cloud services including:

  • AWS Lambda

  • API Gateway

  • Step Functions

  • SageMaker

  • Amazon Bedrock

  • Amazon Textract

  • S3

  • DynamoDB

  • ECR

  • CloudWatch

  • VPC / IAM

• Contribute to the complete AI/ML lifecycle including data preparation, training, evaluation, deployment, inference and monitoring.

• Implement Infrastructure as Code using Terraform.

• Develop and maintain CI/CD pipelines and MLOps workflows.

• Build containerized AI services using Docker.

• Implement testing, logging, monitoring and observability for AI services.

• Work with data engineers, business analysts and business stakeholders to understand requirements and deliver AI solutions.

• Follow AI governance, Responsible AI, data privacy and human-in-the-loop practices.

• Contribute to enterprise AI initiatives across areas such as document processing, fraud detection, claims, underwriting and operational automation.

• Own solution architecture and technical design for AI services.

• Lead AI initiatives from requirements and architecture through production deployment.

• Define technical and integration patterns across AI services.

• Conduct architecture and code reviews.

• Mentor junior and mid-level engineers.

• Establish engineering best practices and quality standards.

• Lead technical discussions with business and technology stakeholders.

• Drive production readiness, monitoring and continuous improvement of AI solutions.

Required Skills & Experience

AI / Machine Learning

• Strong Python programming skills.

• Experience with ML frameworks such as Scikit-learn, XGBoost, PyTorch or TensorFlow.

• Working or hands-on experience with Generative AI and LLM technologies.

• Understanding of prompt engineering, structured extraction, RAG and embeddings.

• Experience with model training, evaluation and deployment.

AWS & Cloud

Experience with several AWS services such as:

• Lambda

• API Gateway

• Step Functions

• SageMaker

• Amazon Bedrock

• Amazon Textract

• S3

• DynamoDB

• ECR

• CloudWatch

• VPC / IAM

Engineering & MLOps

• Understanding of Infrastructure as Code, particularly Terraform.

• Knowledge of CI/CD and MLOps practices.

• Experience with Docker and container workflows.

• Experience with Git and Git-based CI/CD.

• Understanding of model monitoring and production observability.

Additional Skills That Would Be an Advantage

• OCR and document intelligence / IDP

• Computer vision and object detection

• Vector databases and RAG

• pgvector or similar vector stores

• Amazon Redshift

• FastAPI

• React / Vite / MUI

• OpenAPI

• pytest and automated testing

• LLM guardrails and Responsible AI

• AWS AI/ML or Solutions Architect certification

Why Join Symprio?

You'll have the opportunity to work on real-world enterprise AI projects and gain hands-on exposure to:

Generative AI | LLMs | RAG | Machine Learning | AWS | MLOps | Document Intelligence | OCR | Computer Vision | Intelligent Automation

If you are passionate about building AI solutions that move beyond prototypes and into real production environments, we'd love to hear from you.