AI Engineer

SEA Singapore; Singapore; On-site; SGD 100,000 - 170,000; Full time

Job summary

Spark, based in Singapore, seeks an AI Engineer to design, build, and operate production-grade AI agents and LLM-powered applications across our enterprise platform.

You will collaborate with product managers and designers to translate user needs into AI solutions, prototype rapidly, and optimize systems for latency, cost, and scalability in a fast-moving environment.

Qualifications

• Bachelor’s degree or higher in CS, AI, CE or Data Science (or related field).
• Hands-on experience in AI/LLM engineering roles and production-grade deployments.
• Strong Python programming skills and production-minded thinking.

Responsibilities

• Design, build, and deploy LLM-powered applications and AI agents.
• End-to-end product delivery, experimenting with models and frameworks.
• Develop AI workflows using RAG, tool calling, function calling, and prompts.
• Collaborate with Product Managers and Designers to translate needs into AI solutions.
• Prototype and iterate quickly, validating ideas with user feedback.
• Optimize AI systems for accuracy, scalability, latency, and cost.
• Deploy and maintain AI solutions in production with monitoring and improvements.

Skills

Python

AI/LLM engineering

Problem solving

Fast-moving environment

Education

Bachelor’s degree or higher in Computer Science/AI/CE/Data Science

Tools

LangChain

LangGraph

APIs

Databases

Cloud platforms

Job description

Spark is an enterprise AI assistant embedded in our communication suites. It helps employees understand conversations, access workplace knowledge, communicate effectively, and complete tasks across enterprise tools.

We are looking for an AI Engineer to build and operate production-grade AI Agent capabilities for Spark. You will work across LLM orchestration, backend services, enterprise integrations, memory and evaluation systems, owning features from design through production deployment.

Job Description

As part of the Spark AI Engineering team, you will:

• Design, build, and deploy LLM-powered applications and AI agents
• End to end product delivery, experimenting with different models, frameworks, and approaches to identify the best solution for specific product and business requirements.
• Develop AI workflows using techniques such as RAG, tool calling, function calling, agentic workflows, and prompt engineering.
• Collaborate closely with Product Managers and Designers to translate user needs into practical AI solutions.
• Prototype and iterate quickly, using experiments and user feedback to validate ideas before productionising them.
• Optimise AI systems for accuracy, scalability, latency, and cost.
• Take ownership of deploying and maintaining AI solutions in production, including monitoring performance and continuously improving the system.
• Stay up to date with developments in LLMs, generative AI, and AI agent technologies, and identify opportunities to apply emerging techniques to our products.

Requirements

Requirements:

• Bachelor’s degree and above in Computer Science, Artificial Intelligence, Computer Engineering, Data Science or a related field.
• Relevant full time or internship experience in AI/LLM engineering roles
• Strong programming skills in Python
• Hands-on experience building applications using LLMs or Generative AI.
• Hands-on experience with RAG architectures and frameworks such as LangChain or LangGraph
• Familiarity with APIs, databases, cloud platforms, and deploying applications to production.
• Strong problem-solving skills and the ability to evaluate technical trade-offs between quality, cost, latency, and complexity.
• Comfortable working in a fast-moving environment where requirements and AI technologies evolve rapidly.