aimlroles

AI Software Engineer

Unison Group Open · verified Oct 22, 2026
On-site Singapore Contract Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Unison Group. Singapore · contract.

Pay not stated AI Software Engineer salary

RoleAI Engineering
SeniorityMid-level
LocationSingapore
WorkplaceOn-site
EmploymentContract
PostedSep 7, 2026 · 6w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build AI products and agents for practical business needs, taking promising prototypes through to production
  • Develop software across frontend and backend systems, applying cloud application and data architecture principles
  • Streamline engineering work with automation, reusable components, tooling and consistent technical practices
  • Test solutions for functionality and performance, using varied methods, agents and tools to check quality
  • Shape product delivery from requirements and roadmap planning through deployment and ongoing improvements

What you bring

  • Relevant work in Agentic AI engineering, web apps, data science or a related discipline
  • Hands-on work creating AI skills, harnesses, MCPs or Agentic AI framework applications
  • Knowledge of database design and management, plus familiarity with Agile and cloud services
  • Strong analysis and communication skills to turn business problems into solutions and explain technical choices

Who this fits

This contractor role suits a mid-level engineer who can work across AI, software development and data, and collaborate with technology teams and other stakeholders. The position is onsite in Singapore.

From the employer

  • Lead the development of advanced analytics, machine learning, and AI-driven solutions to address business challenges and generate actionable insights.
  • Design, develop, and implement AI products, including applications leveraging Agentic AI frameworks for practical business use cases.
  • Build and maintain agents and applications powered by AI, taking solutions from proof-of-concept to production.
  • Design, develop, and implement software solutions across frontend and backend systems, incorporating cloud application and data architecture principles.
  • Improve development and workflows through automation, reusable components, tooling, and standardised technical engineering practices.
  • Conduct comprehensive functional and performance testing using a range of techniques, agents and tools to ensure high-quality solution delivery.
  • Collaborate with technology teams on cloud-based agent and application architecture, design, and implementation.
  • Analyse business requirements and recommend technology solutions using Agile delivery methodologies.
  • Support the end-to-end product lifecycle, including roadmap planning, development, testing, deployment, and continuous enhancement.
  • Define non-functional requirements and assess database solutions in compliance with relevant regulations.
  • Work closely with cross-functional stakeholders to ensure successful delivery of products and solutions and identify opportunities to apply AI and automation in the business.

Requirements

  • Relevant experience in Agentic AI engineering, web application development, data science, or related disciplines.
  • Knowledge of AI techniques, including hands-on experience developing and implementing skills, harnesses, MCPs, Agentic AI frameworks in practical applications.
  • Familiarity with AI tools, frameworks, and open-source libraries relevant to the field.
  • Knowledge of database design, implementation, and management.
  • Familiarity with Agile delivery methodologies and cloud computing platforms and services.
  • Strong analytical and problem-solving skills, with the ability to translate complex business problems into effective technology solutions.
  • Excellent communication and stakeholder management skills, with the ability to collaborate effectively across multidisciplinary teams and explain technical concepts to diverse audiences.
  • Experience with commercial AI, workflow, data and data science platforms such as n8n, Northflank, Copilot in Power Automate, Dataiku, Databricks, Snowflake, etc.; or Whole-of-Government AI tools, such as GovTech Desk, OPUS, Airbase/Airlift, etc would be advantageous.
  • Familiarity with containerization and orchestration, as well as automated build, test and deployment pipelines.
  • Demonstrated commitment to continuous learning and keeping current with the latest developments in AI, data science, and software engineering.