AI Engineer: LLM Apps & Intelligent Agents

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Dada Consultants is a Singapore-based firm established in 2017, providing IT talent solutions and recruitment services. This role focuses on building AI-powered applications and scalable architectures to support fintech and enterprise clients.

The candidate will design, implement, and evaluate AI systems, including RAG pipelines and agent frameworks, working in a fast-paced tech environment with cross-border payments and compliance workflows.

Qualifications

• Degree in Computer Science, AI, or related field with relevant production AI experience.
• 3+ years of software development experience with at least 2 years in production AI application engineering.
• Strong knowledge of Python or Java and microservice architectures.

Responsibilities

• Build LLM-powered applications including Agent workflows, intelligent Q&A systems, automated reporting, and process automation assistants
• Design and implement RAG systems—chunking strategies, embedding management, vector DB integration, retrieval optimisation
• Build AI Agents with tool calling and function calling to orchestrate multi-step business processes
• Encapsulate AI capabilities as versioned, reusable APIs and microservices following microservice design principles
• Design AI application architecture with service-oriented, modular, multi-tenant characteristics for productisation
• Build automated evaluation, monitoring, and alerting systems to track model performance (accuracy, latency, cost)

Skills

Python

Java

Software development

Microservice architecture

Prompt Engineering

RAG

Agent frameworks

Function calling / Tool use

Education

Bachelor's degree in Computer Science / AI / related field

Tools

MySQL

Redis

Message queues

Job description

Dada Consultants is a Singapore-based firm established in 2017, providing IT talent solutions and recruitment services. This role focuses on building AI-powered applications and scalable architectures to support fintech and enterprise clients.

The candidate will design, implement, and evaluate AI systems, including RAG pipelines and agent frameworks, working in a fast-paced tech environment with cross-border payments and compliance workflows.