Senior AI Engineer Engineering and Technology Singapore Experienced (Individual Contributor) Se[...]

SEA Singapore; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

SEA Singapore is looking for a Senior AI Engineer to lead the architecture and development of AI Agentic products for a core enterprise platform. You will partner closely with the Product Manager and mentor junior engineers while driving technical feasibility and product direction.

Candidates should have significant experience in AI/ML systems and a strong background in software engineering, with a proven record of shipping AI-powered solutions.

Qualifications

• Minimum 5 years of software engineering experience.
• At least 2 years building AI/ML or LLM systems in production.
• Experience in model fine-tuning and optimization.

Responsibilities

• Lead the development of AI Agentic products.
• Build scalable agent frameworks for automation.
• Mentor junior AI engineers and set best practices.

Skills

AI/ML systems development

Prompt engineering

System architecture

Collaboration

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

LangChain

LlamaIndex

AutoGen

Job description

We are building the next generation of AI Agentic capabilities for one of our core enterprise products, evolving it from a productivity tool into an intelligent assistant that can understand context, take actions, and get work done autonomously on behalf of our users.

As a senior member of the team, you will work as a close technical partner to our Product Manager, shaping the product direction from a technical feasibility standpoint while owning the architecture and delivery of our AI Agent products end to end.

Job Description

• Lead the technical architecture and end-to-end development of AI Agentic products for a core enterprise platform, partnering closely with the Product Manager to shape product direction from a technical feasibility standpoint.
• Architect and build scalable agent frameworks (multi-step reasoning, tool/function calling, memory, orchestration across multiple LLMs and services) that power our product's copilot and automation features.
• Own the full lifecycle of AI features — technical design, model selection/fine-tuning, evaluation, production deployment, and monitoring — ensuring reliability, latency, and cost efficiency at scale.
• Mentor junior AI engineers, set best practices for prompt engineering, RAG pipelines, and agent evaluation, and help build reusable AI infrastructure for the broader team.
• Partner cross-functionally with product, design, backend/infra, and security teams to ensure AI features are robust, safe, and compliant with data governance requirements.
• Stay on top of the latest advances in LLMs and agentic AI, and proactively identify opportunities to apply new techniques to our product roadmap.

Requirements

• Bachelor's degree or above in Computer Science, Artificial Intelligence, or a related field; a Master's degree is a plus.
• Minimum 5 years of software engineering experience, including at least 2 years of hands-on experience building AI/ML or LLM-powered systems in production.
• Deep expertise in LLM application development: prompt engineering, RAG, agent frameworks (e.g. LangChain, LlamaIndex, AutoGen), tool/function calling, and multi-agent orchestration.
• Strong foundation in machine learning/deep learning, with practical experience in model fine-tuning, evaluation, and optimization (latency, cost, accuracy trade-offs).
• Proven track record of shipping AI-powered products end-to-end, from prototype to production, ideally in a B2B/enterprise or SaaS setting.
• Excellent system design skills, able to architect scalable, secure, and maintainable AI infrastructure.
• Fast learner with a strong self-driven mindset and a bias for action; comfortable navigating ambiguity and driving technical decisions independently.
• Strong communication and collaboration skills, able to partner closely with product managers and designers to translate business needs into technical solutions.
• Experience with enterprise SaaS, productivity platforms, or AI copilot products is a strong plus.