Senior AI Systems Architect & Production Engineer

AMBITION GROUP SINGAPORE PTE. LTD.; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

AMBITION GROUP SINGAPORE PTE. LTD. invites an experienced Senior Systems Programmer / AI Engineer to own and drive complex, production-grade systems within a global technology organization.

The role is based in Singapore with a 12-month contract and a flexible hybrid working arrangement. You will design and operate AI evaluation, validation and experimentation infrastructure, build AI-enabled engineering systems, and lead architecture decisions for scalable, secure, and reliable distributed

Qualifications

• 10+ years of professional software engineering experience.
• Experience owning complex production systems.
• Strong hands-on background in backend/frontend or platform engineering.
• Proven production experience with AI/ML, LLM, NLP, RAG or multi-agent systems.
• Experience designing AI evaluation, experimentation or validation frameworks.

Responsibilities

• Own the architecture, development and operation of complex production systems with organization-wide impact.
• Define technical strategy and independent engineering decisions across ambiguous problems.
• Design and build AI evaluation, validation and experimentation infrastructure.
• Develop and operate AI systems (LLM, RAG, multi-agent) in production.
• Establish quality gates, monitoring and validation frameworks before deployment.

Skills

AI/ML

Distributed systems

Software engineering

Python

Java

TypeScript

AWS/Azure

Kafka

Spark

Flink

Tools

Kafka

Spark

Flink

PostgreSQL

PyTorch

HuggingFace Transformers

LangChain

AWS

Azure

Job description

AMBITION GROUP SINGAPORE PTE. LTD. invites an experienced Senior Systems Programmer / AI Engineer to own and drive complex, production-grade systems within a global technology organization.

The role is based in Singapore with a 12-month contract and a flexible hybrid working arrangement. You will design and operate AI evaluation, validation and experimentation infrastructure, build AI-enabled engineering systems, and lead architecture decisions for scalable, secure, and reliable distributed