Senior AI Engineer: Build Production-Grade LLM Apps

FinTop Consulting; Malaysia; On-site; MYR 180,000 - 260,000; Full time

Job summary

FinTop Consulting seeks an experienced AI software engineer to lead production-grade LLM-powered applications. You will design agents, build back-end services and interfaces, and own cloud deployments. You will integrate AI across CRM, support, and analytics platforms, while creating evaluation frameworks and upholding AI safety standards.

The role requires strong full-stack capabilities, DevOps expertise, and excellent communication to explain technical decisions to non-technical stakeholders.

Qualifications

• 2+ years hands-on experience developing LLM-powered applications.
• 5+ years professional software engineering experience.
• Strong full-stack engineering skills: backend services, APIs, and frontend.
• DevOps expertise with CI/CD pipelines, containerization, and cloud deployments.
• Experience embedding AI into existing business applications.
• Excellent English communication skills.
• Knowledge of prompt engineering, RAG, multi-agent orchestration.

Responsibilities

• Take AI use cases from proof of concept through production.
• Design and develop LLM-powered applications and agents.
• Build full-stack technology including back-end services and frontend.
• Own deployment and operations on the chosen cloud platform.
• Integrate AI into CRM, ticketing, and other platforms.
• Develop evaluation frameworks and measure business impact.
• Establish AI safety standards and data handling practices.
• Collaborate with Head of AI Transformation on architecture and effort estimates.

Skills

Production AI deployments

Software engineering 5+ years

Full-stack engineering

DevOps pipelines

LLM app ecosystem

APIs & backend

Failure modes in agentic systems

AI integration in business apps

Independent work

English communication

Tools

AWS

GCP

Azure

Job description

FinTop Consulting seeks an experienced AI software engineer to lead production-grade LLM-powered applications. You will design agents, build back-end services and interfaces, and own cloud deployments. You will integrate AI across CRM, support, and analytics platforms, while creating evaluation frameworks and upholding AI safety standards.

The role requires strong full-stack capabilities, DevOps expertise, and excellent communication to explain technical decisions to non-technical stakeholders.