Agentic AI Engineer — Build Production LLM Apps (Hybrid)

Mintel; Kuala Lumpur; Hybrid; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Mintel in Kuala Lumpur is seeking a Software Engineer (Agentic AI) to join our AI Automation team, building production-grade applications that embed Agentic AI and LLM-based capabilities. You'll work across the stack in a dynamic, production environment.

Responsibilities include Python backend services, React/TypeScript frontends, APIs, SQL databases, cloud deployments on AWS, and developing robust LLM orchestration and evaluation pipelines. We offer hybrid work with flexible hours.

Qualifications

• Professional experience building and deploying production software applications.
• Good full-stack software engineering skills, with experience in backend development using Python and technologies such as FastAPI or Django, together with SQL, APIs, authentication, and system integrations.
• Experience with, or a willingness to work across, frontend technologies such as React and TypeScript.
• Hands-on experience building applications with generative AI or LLMs, with an understanding of prompting, tool use, retrieval, structured outputs, agents, and LLM orchestration.
• Experience with LLM evaluation, or a strong understanding of evaluation approaches for LLM-based applications, including evaluation datasets, quality metrics, deterministic evaluation, human evaluation, LLM-as-a-judge, and regression testing.
• An understanding of the challenges involved in moving generative AI beyond prototypes and into production, including reliability, observability, error handling, security, latency, cost, and the non-deterministic nature of LLM-based systems.
• A good foundation in system design and software architecture, with an understanding of API design, data flows, application boundaries, scalability, reliability, security, and maintainability.
• Exposure to DevOps and cloud environments, including areas such as application deployment, CI/CD, monitoring, logging, and debugging production issues. Hands-on AWS experience is particularly valuable.
• A product and problem-solving mindset. You should be interested in understanding the underlying problem and user workflow rather than simply implementing the requested technology.
• The ability and willingness to quickly develop domain knowledge. Previous experience in market research or consulting is not required, but you will be expected to learn how our consultants work and use that knowledge when designing solutions.
• The ability to work independently while knowing when to collaborate or seek input, taking ownership of your work and driving technical problems through to resolution.
• Strong communication skills, with the ability to explain technical concepts and trade-offs to different business stakeholders without losing important context or relying unnecessarily on technical jargon.

Responsibilities

• Build, test, deploy, and maintain production full-stack applications, working across React and TypeScript frontends, Python services using FastAPI or Django, SQL databases, APIs, authentication, and system integrations.
• Design and implement Agentic AI capabilities, including LLM orchestration, tool use, workflows, retrieval, structured outputs, and other patterns required to integrate generative AI into production applications.
• Contribute to the evaluation of LLM and Agentic AI systems, helping define evaluation datasets and meaningful quality criteria, implementing automated evaluations, analysing failures and regressions, and using the results to improve system performance.
• Contribute to technical design and system architecture, considering maintainability, scalability, reliability, security, performance, and observability.
• Deploy and operate applications in cloud environments, contributing to CI/CD, application configuration, monitoring, logging, troubleshooting, and production support. Our applications primarily operate in AWS.
• Develop a strong understanding of the market research and consulting domain, working with consultants and other business stakeholders to understand their workflows, the problems they solve for clients, and where AI and automation can provide meaningful value.
• Translate business problems into practical technical solutions, working closely with stakeholders to understand requirements and helping them understand what is technically feasible.
• Develop features and solve technical problems as part of an Agile team, working independently where appropriate while also pairing and collaborating with other Engineers and Architects.
• Help deliver high-quality, reliable software through testing, code reviews, QA practices, documentation, and continuous improvement of our engineering practices.
• Participate actively in technical discussions, contributing your perspective when evaluating implementation approaches, technical trade-offs, and potential solutions.

Skills

Python

Full-stack development

React/TypeScript

LLM/Agentic AI

SQL

APIs

AWS / Cloud

CI/CD

Tools

FastAPI

Django

React

TypeScript

SQL databases

Cloud infrastructure

Job description

Mintel in Kuala Lumpur is seeking a Software Engineer (Agentic AI) to join our AI Automation team, building production-grade applications that embed Agentic AI and LLM-based capabilities. You'll work across the stack in a dynamic, production environment.

Responsibilities include Python backend services, React/TypeScript frontends, APIs, SQL databases, cloud deployments on AWS, and developing robust LLM orchestration and evaluation pipelines. We offer hybrid work with flexible hours.