AI Engineer | Senior to Lead Level

Randstad Singapore · Singapore, Singapore

About the role

summary

  • singapore
  • S$7,000 - S$14,000 per month, Bonuses
  • permanent
  • full-time

specialism information technology

sub specialism software engineering & application development

reference number 91M0267033_2331793149208200106

job details

about the company

My client is a high-octane technology powerhouse dedicated to high-concurrency infrastructure and fullstack digital ecosystems. They are currently scaling their AI division to move Generative AI from lab-concept to global production. Expect stability of a market leader paired with the technical velocity of a startup! This is an ideal environment for engineers who want to build low-latency, large-scale deployments that redefine digital interaction.

...

about the job

Join a specialized engineering hub dedicated to building the intelligent workflows and automation that power global platforms.

  • Conceptualize and ship sophisticated system architectures that integrate autonomous decision-making
  • Lead the full software lifecycle with a focus on reliability and seamless performance
  • Define technical protocols centered on modularity, security, and hyper-scalable infrastructure
  • Mentor a multi-disciplinary team to level up internal engineering culture and methodologies
  • Prototype experimental technologies to influence the long-term roadmap of smart enterprise tools

skills and experience required

  • Senior Level: Min 2–4 years of proven experience developing and deploying software and AI solutions.
  • Lead Level: Min 7 years of hands-on experience, with 2–3 years in a senior or technical lead capacity supervising other engineers.
  • Professional background in building complex, high-traffic software and managing technical delivery
  • Professional background in building and deploying complex software at scale, with experience managing technical project delivery.
  • Strong full-stack development skills using modern programming languages and secure data management practices.
  • Expertise in developing frameworks for large-scale information retrieval and automated reasoning systems.
  • Deep understanding of enterprise-grade security standards and cloud-based deployment strategies.
  • Academic credentials in a quantitative or technical discipline, with a focus on advanced computing or intelligent systems. To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002 ).

skills

no additional skills required

qualifications

no additional qualifications required

education

Bachelor Degree

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get in touch

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ET

evangeline tan

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