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AI Engineer
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AI Engineer
allegis group singapore private limitedEarly Applicant
- Posted 13 hours ago
- Be among the first 10 applicants
Job Description
ROLE
The AI Engineer will be in a technology team focused on modern engineering, AI-driven development, and platform transformation. You'll work on a mix of application development, platform modernisation, automation, and operational improvement initiatives while helping drive the adoption of AI across the software development lifecycle.
KEY ACCOUNTABILITIES
- Apply an AI-first approach to software engineering, leveraging AI tools to accelerate solution design, development, testing, troubleshooting, and operational support.
- Partner with business and technology stakeholders to understand problems and translate them into scalable technical solutions.
- Rapidly build proof-of-concepts (POCs) and solution prototypes to validate use cases, demonstrate ROI, and obtain stakeholder buy-in.
- Modernise and refactor legacy applications, platforms, and data workflows across the technology landscape.
- Develop and maintain applications and automation solutions primarily using Java and Python.
- Support business-critical platforms through incident investigation, root cause analysis, and continuous improvement initiatives.
- Collaborate with global teams across multiple regions to deliver technology solutions and platform enhancements.
- Evaluate and adopt emerging AI capabilities to improve developer productivity and software delivery processes.
REQUIREMENTS
- Engineers who are strong problem solvers and can break down ambiguous business problems into structured solutions.
- Individuals who embrace AI-assisted development rather than relying solely on traditional coding approaches.
- Experience with Java and/or Python development in enterprise environments.
- Exposure to AI development tools, AI workflows, GenAI platforms, or AI-assisted engineering practices.
- Strong communication skills with the ability to explain solution approaches and trade-offs to both technical and non-technical stakeholders.
- Experience working with large-scale applications, platform engineering, system modernisation, or data-focused initiatives.
- Financial services experience is a plus, but domain expertise is secondary to mindset, adaptability, and technical problem-solving ability.
We regret to inform that only shortlisted candidates will be notified.
EA Registration No.: LEE YAO HONG MALCOLM , R22109832
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544
More Info
Key Skills
About Company
Skills:
Java, Kafka, Spring Boot, Sql, Nosql, Tensorflow, Numpy, Git, Pandas, MLops, Gcp, Pytorch, Docker, Azure, Python, Kubernetes, AWS, scikit-learn, AI ML Expertise, Agentic AI, Microservices Architecture
Skills:
Machine Learning, Sql, Deep Learning, Typescript, Gcp, Javascript, Docker, Openshift, Predictive Analytics, Azure, Python, Kubernetes, AWS, GenAI technologies, Digital Twin platforms, Robotics, Digital fluency, AI literacy, Statistical Modeling
Skills:
Databases, Apis, Automation Frameworks, Python Programming, orchestration frameworks, multi-agent systems, AI observability monitoring, data pipelines, LLMs, cloud platforms, vector databases, ERP systems, AI-driven solutions, model integration, prompt engineering, AI orchestration platforms, end-to-end AI pipelines, AI agents, data ingestion, AI governance, agent orchestration, enterprise system integration, RAG architectures
Skills:
Typescript, Javascript, Docker, Openshift, Kubernetes, Python, Sql, GenAI technologies, agentic AI concepts, LLM integration, Responsible AI practices
Skills:
Databases, Cloud Services, Apis, Sql, Docker, Python, vector search, embeddings, orchestration tools, Google Gemini, retrieval-augmented generation, vector databases, Anthropic, Azure OpenAI, context engineering, CI CD, agent frameworks, large language models, AI observability tools, AI evaluation, OpenAI, agent orchestration, backend application development