AI Engineer

Handshakes by DC Frontiers; Kuala Lumpur; Hybrid; MYR 70,000 - 120,000; Full time

Benefits offered by this job

Hybrid work policy

Job summary

Handshakes by DC Frontiers is an award-winning DataTech company focused on turning data into actionable insights. We are seeking an AI Engineer to join our Data & AI Engineering team to build and deliver AI-powered applications that solve real-world business problems.

You will work across the AI lifecycle, from exploring approaches to deploying scalable production solutions using NLP, LLMs, Document AI, and Generative AI, with strong software, data, and cloud practices.

Qualifications

• Bachelor’s degree in Computer Science, AI, Software Engineering, Data Science, IT or related field.
• 1–3 years of AI/ML engineering experience; fresh graduates welcome.
• Strong programming skills in Python.
• Experience developing and consuming RESTful APIs.
• Experience with AI models/LLMs (e.g., Hugging Face Transformers).
• Working knowledge of SQL and relational databases.
• Understanding NLP techniques and ML fundamentals.
• Strong analytical and problem-solving skills.

Responsibilities

• Engineer AI prototypes and production-ready applications.
• Develop, maintain and enhance AI applications.
• Design and maintain RESTful APIs and backend services.
• Manage data storage for AI apps (SQL, NoSQL, vector DBs).
• Deploy, monitor and optimize AI apps on cloud infra.
• Evaluate models with appropriate metrics.
• Build AI/data pipelines for ingestion, extraction, retrieval and generation.
• Work with structured/unstructured data for processing.
• Collaborate with researchers to translate prototypes into production.
• Participate in reviews, testing, deployment and documentation.

Skills

Python

REST APIs

NLP

SQL

LLMs

ML fundamentals

Problem solving

Education

Bachelor’s Degree / Diploma in Computer Science or related field

Tools

Git

Docker

Linux

Job description

Handshakes by DC Frontiers is an award-winning DataTech company that leverages data to empower safe, informed business decisions.

We are looking for an AI Engineer to join our Data & AI Engineering team, developing and delivering AI-powered applications and solutions that solve real-world business problems.

In this role, you will work across the AI development lifecycle - from exploring and evaluating AI approaches to engineering, deploying, and maintaining scalable and reliable production solutions.

You will work with technologies such as Natural Language Processing (NLP), Large Language Models (LLMs), Document AI, and Generative AI, while applying strong software, data, and cloud engineering practices to build AI solutions that perform effectively in real-world production environments.

This role is well suited to candidates with 1-3 years of relevant experience in AI/ML engineering. Fresh graduates with strong fundamentals and relevant internship or project experience are also welcome to apply.

Key Responsibilities

• Engineer AI prototypes and proof-of-concepts into scalable, reliable, and production-ready applications.
• Develop, maintain, and enhance AI applications.
• Design, develop, and maintain RESTful APIs and backend services that integrate AI capabilities into applications and workflows.
• Develop and manage data storage for AI applications, including relational databases, document databases, and, where relevant, NoSQL or vector databases.
• Deploy, monitor, troubleshoot, and continuously improve AI applications running on cloud infrastructure, with attention to scalability, reliability, performance, and cost.
• Evaluate, benchmark, and improve AI models and solutions using appropriate evaluation methodologies and performance metrics.
• Build and maintain AI and data pipelines for data ingestion, document processing, information extraction, retrieval, and generation.
• Work with structured and unstructured data to develop reliable data processing solutions that support AI applications and workflows.
• Experiment with AI models, techniques, and emerging technologies, and develop proof-of-concepts where appropriate.
• Collaborate with AI researchers and other technical stakeholders to understand AI approaches and prototypes and translate them into production-ready solutions.
• Collaborate with cross-functional teams to understand business and product requirements and translate them into effective technical solutions.
• Participate in code reviews, testing, deployment, monitoring, troubleshooting, and documentation activities.

* Work Arrangement - 3 days work in office on hybrid working as per company policy.

Must-Have Skills & Experience

• Bachelor's Degree /Diploma in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Information Technology, or a related field.
• 1-3 years of relevant experience in AI/ML engineering; Fresh Graduates with strong fundamentals and relevant project or internship experience are welcome to apply.
• Strong programming skills in Python.
• Experience developing and consuming RESTful APIs.
• Experience working with AI models and frameworks such as Hugging Face Transformers, Large Language Models (LLMs), or similar technologies.
• Working knowledge of SQL and relational databases, including schema design for application use cases.
• Understanding of Natural Language Processing (NLP) techniques and text processing.
• Understanding of Machine Learning fundamentals, including model evaluation, validation, testing, and common performance metrics.
• Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues and evaluate AI solution quality.

Good-to-Have Skills

• Hands-on experience with cloud platforms such as Azure, AWS, or a comparable provider, including services such as compute, containers, storage, serverless functions, managed databases, or managed AI services.
• Understanding of production software and AI engineering considerations such as scalability, reliability, observability, performance, security, and cost.
• Experience building data ingestion, transformation, or processing pipelines for structured or unstructured data.
• Familiarity with version control (Git) and CI/CD practices.
• Experience with NoSQL or vector databases for semantic search, retrieval, or embeddings.
• Experience with Retrieval-Augmented Generation (RAG).
• Experience building AI Agents or agentic AI applications.
• Familiarity with Docker and Linux.
• Experience with cloud AI services such as Azure AI, Azure OpenAI, AWS Bedrock, or similar managed platforms.

Personal Attributes

• Strong analytical and problem-solving mindset.
• Passion for AI and enthusiasm for learning emerging technologies.
• Curious and innovative mindset with a willingness to experiment and explore new approaches.
• Ability to work independently while collaborating effectively within a team.
• Good communication skills and the ability to understand and translate business requirements into technical solutions.
• Detail-oriented with a focus on quality, reliability, and maintainability.
• Self-motivated with a strong sense of ownership and a desire to continuously learn and improve.