Helius Technologies

Senior GenAI Engineer

Helius Technologies

Singapore · Full Time

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Experience
Any
Salary
Openings
1
Posted
5 days ago
Work mode
In office
Education
Bachelor's or Master's in Computer Science or Engineering
Resume
Required to apply

Where you'll work

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Job description

About the Company

Helius Technologies partners with organizations to realize technology outcomes that function effectively in practical scenarios. Specializing in complex initiatives across Asia and the Middle East, particularly within regulated and enterprise contexts, we emphasize reliability, governance, and precise delivery to ensure lasting results.

Job Overview

We are seeking a Senior GenAI Engineer to join our team in Singapore. This role demands strong engineering competence combined with a methodical, accountable approach to project delivery. The successful candidate will collaborate with stakeholders, engineering teams, and delivery leads to drive technology initiatives forward.

Key Duties and Responsibilities

  • Architect, create, and deploy generative AI solutions integrated with Microsoft Azure and Amazon Web Services platforms.
  • Work closely with cross-functional teams to collect requirements and establish clear project goals.
  • Keep abreast of the newest developments in generative AI technologies, including Azure, AWS, OpenAI, and Google GenAI services.
  • Write, maintain, and optimize scalable, efficient codebases for GenAI applications.
  • Enhance GenAI algorithms and models to improve their accuracy and operational performance.
  • Identify and resolve issues in GenAI applications to ensure stable and uninterrupted functionality.
  • Partner with data scientists and machine learning engineers to expand GenAI capabilities.
  • Mentor junior engineers by providing technical advice and fostering knowledge sharing.
  • Monitor industry trends and recommended practices for GenAI engineering and cloud platform integrations.

Required Qualifications and Skills

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
  • Demonstrated experience in generative AI engineering focusing on Azure and OpenAI ecosystems, with preferred experience in AWS and Azure GenAI services.
  • Proficiency in programming with Python and/or Java.
  • Hands-on experience with Azure services such as Azure WebApp, Azure AI Services, and Azure Functions.
  • Knowledge and experience in integrating large language models using APIs, constructing AI agents, and working with multi-modal machine learning models.
  • Understanding of machine learning methodologies and deep learning frameworks.
  • Competence in data preprocessing, feature engineering, and evaluating model effectiveness.
  • Strong analytical skills and problem-solving capabilities.
  • Ability to work effectively both independently and collaboratively in a dynamic, fast-paced environment.
  • Additional Desired Skills: Experience with AWS services like ECS, Fargate, Lambda, DynamoDB, Bedrock; familiarity with Google Cloud AI Platform, Google Cloud Functions, Google Cloud AutoML; expertise in cloud-based deployment and scaling of GenAI apps; knowledge of containerization technologies such as Docker and Kubernetes; experience with DevOps tools and CI/CD pipeline automation; contributions to open-source projects related to GenAI or cloud integration.

Additional Information

Applicants are requested to provide the following details along with an updated resume:
Full name as per passport or ID, current salary, expected salary (SGD), notice period or availability, residential status in Singapore, and reason for seeking a new opportunity.

About Working With Helius

At Helius Technologies, you will engage in challenging technology projects with leading organizations across Asia and the Middle East, alongside a diverse team of over 1,000 technology professionals distributed across seven countries. Our sectors include BFSI, healthcare, and both public and private enterprises, underpinned by more than twenty years of expertise in enterprise technology delivery.

We operate in environments where dependability, accountability, and disciplined execution are paramount, combining rigorous engineering practices with structured project delivery to achieve meaningful and sustainable outcomes.

Level

Senior

Minimum education

Master's Degree

Tools & software

Kubernetes required

How they work

Teamwork & Collaboration Problem Solving Adaptability Leadership Accountability

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