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the company will be prioritizing applicants who have a current right to work in Singapore, and do not require the company's sponsorship of a visa. Minimum qualifications Bachelor’s degree in Engineering, Computer…
Develops scalable Python backend services and integrates LLM-powered chatbot solutions for AI applications.
Designs and builds AI-powered tools (LLMs, RAG, agents) for enterprise software engineering and DevSecOps, integrating with Azure cloud and ensuring compliance with VA AI governance.
The AI Engineer will design and integrate AI-powered agents and workflows to automate the software development lifecycle, while also applying mobile engineering expertise in Flutter. The role focuses on improving engineering productivity and software quality within a large-scale travel industry environment.
AI Software Engineer in Test who uses AI tools to accelerate test automation, build/maintain test frameworks across web, mobile, API, and data platforms, and validate AI/GenAI outputs — primarily using Selenium, Playwright, Cypress, REST Assured, JUnit, TestNG, PyTest, CI/CD tools, and SQL at a fintech point-of-sale lending company.
Hands-on Senior AI Engineer (contract, inside IR35) providing technical leadership—writing production code, designing RAG systems, and deploying AI/ML workloads on AWS (Bedrock/SageMaker) within a regulated environment.
Design, test, and refine LLM prompts and AI interaction patterns, applying PromptOps practices and collaborating with product/engineering teams to ensure safe, accurate outputs for enterprise and public-sector clients.
Data & AI Engineer connecting data, automating workflows, and implementing practical AI solutions across business processes at a consumer products company.
The Principal AI Engineer will work on developing next-generation AI-enabled, software-driven systems for the Australian Defence sector. The role focuses on R&D and accelerating innovative technologies into operational systems.
Senior Data & AI / MLOps Engineer responsible for industrializing and deploying ML models, LLMs/AI agents, and data pipelines into production within the financial sector, using Python, PySpark, AWS, Docker, Kubernetes, and MLflow.
Work on scalable data solutions, cloud architectures, and Generative AI, focusing on transforming data into business value and operating in production environments.
Builds and maintains enterprise-grade Python backend systems, manages databases, and optimizes CI/CD pipelines for a global tech services provider.
AI Engineer Agentic AI 120,000 Super Brisbane Pearson Carter are currently working with an early-stage Australian technology company building production-grade AI agents for the vocational education and training sector.…
Develops and extends an AI agent harness for trading infrastructure, integrating data sources, orchestrating workflows, and ensuring secure, isolated execution across Slack, Postgres, and Kubernetes.
Job Number: R0248104 AI Software Engineer, Senior The Opportunity: As an experience d sof tware engineer, you know how to design, develop , and deliver production AI applications that demonstrate the practical value of…
Design, build, and operate production-grade AI solutions (LLM pipelines, copilots, agents, RAG) in enterprise environments using .NET, Azure, SQL, and React/Angular, working directly with business stakeholders to translate needs into deployed workflows.
The Engineering Manager will lead a team of Machine Learning Engineers to design and deploy production-ready LLM applications and agentic AI systems for healthcare clinical workflows. The role focuses on building scalable AI infrastructure, MLOps workflows, and collaborating across teams to translate research into clinical products.
The Senior AI Engineer will lead the architecture and delivery of production-grade GenAI systems, including LLMs and multi-agent workflows. The role involves guiding cross-functional teams and defining engineering standards for scalable intelligent applications.
Lead AI Engineer designing and implementing GenAI solutions, RAG architectures, and intelligent agents for a public-sector project in Madrid, using Python/Java/.NET, Docker, Kubernetes, and ITSM integrations.
Design, build, deploy, and optimize AI-powered applications (agents, assistants, automations) across a healthcare technology company using Python, LLM platforms like OpenAI/Anthropic, RAG, and cloud infrastructure.
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