Associate AI Systems Engineer

Nestria Ai Northstar Ai Shield Pte. Ltd.

Singapore

Hybrid

SGD 60,000 - 90,000

Full time

2 days ago
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Job summary

Nestria AI Northstar AI Shield Pte. Ltd.

in Singapore is seeking an Associate AI Systems Engineer to support the development, testing, integration, and validation of runtime assurance workflows for enterprise AI applications. As an early team member, you will work with founders and senior engineers to build evaluation pipelines, deployment scripts, evidence tooling, and technical documentation for internal pilots and customer projects.

Qualifications

  • Bachelor’s degree in a technical field related to AI or engineering.
  • Strong programming foundation, preferably Python.
  • Basic understanding of software engineering, APIs, databases, testing, and deployment workflows.
  • Interest in AI systems, LLMs, automation, agentic AI, or applied machine learning.
  • Ability to read technical documentation, debug issues, and learn new tools quickly.

Responsibilities

  • Support development and testing of runtime assurance workflows, AI evaluation pipelines, and system integration components.
  • Assist in building and maintaining scripts for deployment, testing, data preparation, and environment setup.
  • Help develop evidence and trace tooling, including logs, reports, structured outputs, and validation artefacts.
  • Support internal validation of AI workflows, including test case execution, result checking, and issue documentation.
  • Assist with pilot environment setup, configuration, technical testing, and troubleshooting.
  • Work with engineers to integrate AI workflows with backend services, APIs, dashboards, and deployment environments.
  • Prepare and maintain technical documentation, setup guides, testing notes, and engineering reports.
  • Help analyse system behaviour, AI outputs, errors, and performance results.
  • Contribute to software, AI, and integration workstreams across the project as needed.

Skills

Python
Communication
Problem solving
Rapid learning

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or a related technical field

Tools

Docker
Git
APIs
Linux
CI/CD
Cloud services

Job description

Location : Singapore
Employment Type : Full-time
Work Arrangement: Hybrid / on-site, depending on project needs
Compensation : Competitive base compensation, aligned with experience and role scope
Work Eligibility: Applicants must have the right to work in Singapore

About Nestria AI

Nestria AI is a Singapore-based high-assurance agentic AI startup building reliable, secure, and enterprise-ready AI systems for regulated and IP-sensitive industries. Our platform helps enterprises deploy agentic AI safely through runtime assurance, observability, verification workflows, secure orchestration, and customer-ready deployment environments.

We are building a creative, collaborative, and curiosity-led culture where people are encouraged to challenge the status quo, communicate openly, move with ownership, and support each other with empathy and respect.

About the Role

We are looking for an Associate AI Systems Engineer to support the development, testing, integration, and validation of our AI runtime assurance workflows. You will work closely with senior engineers and founders to help build evaluation pipelines, deployment scripts, evidence tooling, and technical documentation for internal development and customer pilots.

As an early team member, you will work closely with the founders and have the opportunity to contribute to the product, engineering culture, and customer-facing platform as the company grows.

Key Responsibilities

Support development and testing of runtime assurance workflows, AI evaluation pipelines, and system integration components.

Assist in building and maintaining scripts for deployment, testing, data preparation, and environment setup.

Help develop evidence and trace tooling, including logs, reports, structured outputs, and validation artefacts.

Support internal validation of AI workflows, including test case execution, result checking, and issue documentation.

Assist with pilot environment setup, configuration, technical testing, and troubleshooting.

Work with engineers to integrate AI workflows with backend services, APIs, dashboards, and deployment environments.

Prepare and maintain technical documentation, setup guides, testing notes, and engineering reports.

Help analyse system behaviour, AI outputs, errors, and performance results.

Contribute to software, AI, and integration workstreams across the project as needed.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or a related technical field.

Strong programming foundation, preferably in Python.

Basic understanding of software engineering, APIs, databases, testing, and deployment workflows.

Interest in AI systems, LLMs, automation, agentic AI, or applied machine learning.

Ability to read technical documentation, debug issues, and learn new tools quickly.

Good communication skills and ability to document technical work clearly.

Comfortable working in a fast-paced startup environment.

Strong attention to detail and willingness to take ownership of assigned tasks.

Nice to Have

Internship, project, or academic experience with AI, ML, LLMs, RAG, backend engineering, cloud, or DevOps.

Familiarity with Docker, Git, APIs, Linux, cloud services, or CI/CD.

Experience with testing, automation scripts, dashboards, or technical documentation.

Interest in cybersecurity, AI governance, enterprise systems, or high-reliability software.

What We Look For

Strong learning mindset and curiosity about AI systems.

Startup mindset, adaptability, and willingness to support different workstreams.

Good engineering discipline, attention to detail, and reliable execution.

Openness, collaboration, empathy, and ability to communicate blockers early.

Interest in growing with the company and contributing to a positive team culture.

Why Join Us

Work directly with the founding team of a deep-tech AI startup.

Work on high-impact problems in reliable AI, agentic AI, AI governance, security, and enterprise automation.

Gain exposure to customer pilots across regulated and IP-sensitive industries.

Join at an early stage where your work will directly shape the product and company direction.

Be part of a creative, collaborative, and curiosity-led culture that values openness, empathy, ownership, and constructive challenge.

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