AI Solutions Engineer

techstreet; Selangor; On-site; MYR 90,000 - 130,000; Full time

Job summary

Jora Malaysia is hiring for a hands-on AI solutions engineer-type role focused on building, deploying and improving production-ready AI solutions powered by LLMs, RAG and agent-based workflows.

You will design, build and optimize AI-powered applications, integrate with enterprise systems, and ensure accuracy, latency and cost targets are met, with demonstrations and workshops in Bahasa Melayu and English.

Qualifications

• Degree in Computer Science, AI, Software Engineering, Information Technology or a related discipline.
• Open to fresh graduates or candidates with around 1 year of relevant hands-on experience; a strong project portfolio is highly valued.
• Hands-on experience delivering AI / LLM / chatbot / automation projects, ideally from proof-of-concept through to production.
• Proficient in Python with sound software-engineering fundamentals.
• Experienced with APIs, databases, backend development and system integration.
• Familiar with cloud platforms, Docker, Git, CI/CD and monitoring.
• Familiar with mainstream large language models and model selection.
• Skilled in prompt engineering, structured output and tool calling.
• Experienced in RAG, vector search and knowledge-base development.
• Able to develop AI agents and automated workflows.

Responsibilities

• Build and enhance AI-powered applications using LLMs, RAG pipelines and agent / workflow automation.
• Apply prompt engineering, structured outputs, tool calling, validation and fallback techniques to improve accuracy, reliability and consistency.
• Design retrieval and grounding strategies using customer documents, databases and APIs as approved knowledge sources; build and maintain vector search and knowledge bases.
• Select suitable models and configurations based on quality, latency, cost and security requirements.
• Integrate AI services with APIs, backend systems, databases and messaging channels.
• Take solutions from proof-of-concept to production, addressing accuracy, hallucination, latency, cost and system stability.
• Set up AI evaluation, automated testing, logging and monitoring; analyse results and continuously optimise prompts, workflows and model choices.
• Produce clear technical documentation, test reports and operational handover materials.
• Support customer-facing activities — demonstrations, proof-of-concepts and workshops — in Bahasa Melayu and English.

Skills

Python

APIs

Databases

Cloud platforms

LLMs

RAG

Vector search

AI agents

Prompt engineering

Structured outputs

Education

Bachelor's degree in Computer Science, AI, Software Engineering, Information Technology or related discipline

Tools

Docker

Git

CI/CD

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

A hands-on delivery role that designs, builds, deploys and continuously improves production-ready AI solutions powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and agent-based workflows. Working under the Senior AI Solutions Engineer, this person takes solutions from proof-of-concept through to stable production — building intelligent assistants, knowledge systems and workflow automation, integrating them with enterprise systems, and optimising them for accuracy, reliability, latency and cost.

Key responsibilities

• Build and enhance AI-powered applications using LLMs, RAG pipelines and agent / workflow automation.
• Apply prompt engineering, structured outputs, tool calling, validation and fallback techniques to improve accuracy, reliability and consistency.
• Design retrieval and grounding strategies using customer documents, databases and APIs as approved knowledge sources; build and maintain vector search and knowledge bases.
• Select suitable models and configurations based on quality, latency, cost and security requirements.
• Integrate AI services with APIs, backend systems, databases and messaging channels.
• Take solutions from proof-of-concept to production, addressing accuracy, hallucination, latency, cost and system stability.
• Set up AI evaluation, automated testing, logging and monitoring; analyse results and continuously optimise prompts, workflows and model choices.
• Produce clear technical documentation, test reports and operational handover materials.
• Support customer-facing activities — demonstrations, proof-of-concepts and workshops — in Bahasa Melayu and English.

About you

• Degree in Computer Science, AI, Software Engineering, Information Technology, Data Science or a related discipline.
• Open to fresh graduates or candidates with around 1 year of relevant hands-on experience; a strong project portfolio is highly valued.
• Hands-on experience delivering AI / LLM / chatbot / automation projects, ideally from proof-of-concept through to production.
• Proficient in Python with sound software-engineering fundamentals.
• Experienced with APIs, databases, backend development and system integration.
• Familiar with cloud platforms, Docker, Git, CI/CD and monitoring.
• Familiar with mainstream large language models and model selection.
• Skilled in prompt engineering, structured output and tool calling.
• Experienced in RAG, vector search and knowledge-base development.
• Able to develop AI agents and automated workflows.