My Client:
We are partnering with multiple leading technology companies in Singapore that are actively expanding their AI engineering teams.
These opportunities focus on building production-ready AI applications and enterprise-grade Agent systems that move beyond experimentation into real-world deployment. Depending on the team, you may work on next-generation AI Agent platforms, intelligent automation, enterprise knowledge systems, financial AI applications, or AI-native products used by millions of users.
Job Responsibilities:
- Design and develop production-ready AI applications powered by Large Language Models.
- Build AI Agent workflows using technologies such as RAG, Tool Calling, Function Calling, Prompt Engineering, and Multi-Agent collaboration.
- Design scalable backend services and APIs to support enterprise AI products and intelligent automation.
- Develop reusable AI components and frameworks that accelerate AI product development.
- Build context management, memory, and workflow orchestration for complex Agent systems.
- Optimize model performance, latency, reliability, and operational costs in production environments.
- Design evaluation, monitoring, and observability frameworks to continuously improve AI quality.
Job Requirements:
- Bachelor's degree or above in Computer Science or a related field.
- Strong software engineering experience using Python, Java, TypeScript, Go, or C/C++.
- Hands-on experience building AI applications using Large Language Models.
- Strong understanding of RAG, Prompt Engineering, Embedding, Vector Databases, and AI retrieval pipelines.
- Experience building AI Agents using frameworks such as LangChain, LlamaIndex, Dify, Spring AI, OpenAI SDK, or similar technologies.
- Familiarity with Tool Calling, Function Calling, MCP, AI workflow orchestration, or multi-agent systems.
- Experience designing scalable backend architectures, microservices, APIs, and distributed systems.
- Strong problem-solving skills with the ability to deliver production-quality AI systems.
Nice to Have:
- Knowledge of context engineering, memory management, or Agent optimization.
- Experience deploying AI applications in regulated industries such as finance, payments, or enterprise software.
- Contributions to open-source AI projects or experience developing internal AI platforms.
What They Offer:
- Work on cutting-edge AI Agent systems, LLM applications, and next-generation AI products.
- Exposure to production-scale AI engineering rather than proof-of-concept projects.
- Competitive compensation, strong engineering culture, and excellent long-term career growth.
About Us
Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.