987 AI Developer jobs in Singapore

Join to apply for the AI Developer role at Ministry of Defence of Singapore .

What The Role Is

You will delve into technical solutions, collaborate with operational users to acquire datasets and models for the Singapore Armed Forces (SAF) as a product developer.

What You Will Be Working On

• Stay updated with the latest developments in Artificial Intelligence and Machine Learning (AI/ML) technology.
• Proactively identify, initiate, and promote worthwhile engineering projects across the SAF.
• Work with operational users to acquire datasets and models.
• Develop and implement AI/ML solutions for SAF use.

Challenges

• Maintain an in-depth understanding of AI/ML and programming languages like Python.
• Stay informed about the latest AI/ML technologies and understand their application and impact to ensure beneficial deployment within the SAF.

What We Are Looking For

• Educational background in quantitative, scientific, and technological disciplines such as Mathematics, Statistics, Computer Science, Data Science, and Analytics.
• At least 3 years of relevant work experience preferred.
• Deep understanding of AI/ML, including supervised and unsupervised learning, neural networks, and deep learning.
• Hands-on experience with current AI tools like TensorFlow and PyTorch.
• Ability to multitask and work under stressful environments.
• Strong leadership qualities, good planning abilities, and communication skills.
• Proficiency in data structures and algorithms.

(Applicants with no experience may also apply.)

Only shortlisted candidates will be notified.

• Entry level

• Full-time

• Information Technology

• Government Administration

We are seeking a skilled Software Engineer to join our team. The ideal candidate will have experience in developing and maintaining AI applications, server and cloud infrastructure, collaboration and problem-solving, and continuous learning and innovation.

The Software Engineer will be responsible for creating and refining AI-based image processing software using Python, enhancing existing programs or developing new ones to optimize workflows and meet research requirements.

The candidate should also have strong proficiency in Python for AI or image processing tasks, familiarity with AWS (or similar) for data storage and infrastructure management, and comfort with Git workflows and collaborative coding practices.

In addition to technical skills, the Software Engineer should have excellent communication and teamwork skills, be able to work effectively in a multidisciplinary environment, and be adaptable to changing project requirements.

• Education: BSc or MSc in Computer Science or related disciplines from a reputable university.
• Python Expertise: Strong proficiency in Python for AI or image processing tasks.
• Cloud Services Knowledge: Familiarity with AWS (or similar) for data storage and infrastructure management.
• Version Control: Comfortable with Git workflows and collaborative coding practices.
• Bonus/Plus: Experience in server administration and minimum 1-3 years of working experience as a Software Engineer.

• A collaborative and inclusive world-class research environment.
• Opportunities for scientific leadership and professional development.
• Engagement with a leading international team addressing challenges in IC design for post-quantum security.
• Competitive salary.
• Medical insurance.
• Good amount of leave/vacation days.
• Vibrant, modern and positive working environment in Singapore.
• Campus-sited office location with a host of facilities.
• In-building perks including gym, game room and coffee room.

Interested candidates should send their complete application, including cover letter, CV, and university transcripts, to Only shortlisted candidates will be contacted.

We look forward to your application.

Key Responsibilities:

• Assist the Technical Manager in designing, developing, testing, and implementing AI software for Building Automation and Facility Management.
• Designing and implementing Generative AI solutions using Large Language Models to solve domain specific problems.
• Developing initial versions of AI applications for testing and feedback.
• Refining AI models for improved performance, accuracy, efficiency, and scalability.
• Integrating trained AI models into production environments and existing software systems, ensuring seamless interaction between AI components and broader software.
• Continuously monitoring AI performance in production environments, troubleshooting errors, and updating models to ensure ongoing accuracy and efficiency.
• Designing custom AI solutions to help businesses automate tasks, optimize processes, and make data-driven decisions.
• Analyzing AI-generated outputs, identifying issues, and developing innovative solutions to complex challenges in AI system design and optimization.

Requirements:

• Bachelor's degree in computer science, MIS, Software Engineering, or Information Systems.
• 4+ years of hands-on experience software development for Artificial Intelligence and Machine Learning.
• Knowledge of Natural Language Processing (NLP), Generative AI and Large Language Models (LLM) and how to leverage them for applications.
• Proficient in using leading LLMs (Gemini, GPT-4), with experience in context window management and token cost optimization.
• Skilled in designing and implementing end-to-end GenAI architecture, covering prompt engineering, embeddings and vector stores, RAG, function calling, MCP, multi-agent systems, and fine-tuning (LoRA), and has hands-on experience with using relevant tools.
• Experience building production-grade agents and knowledge-based QA systems using LangChain.
• Proficient in Java, and Python programming.
• Experience with SQL/NoSQL databases for data manipulation, analysis, and interpretation.
• Experience with AI/ML services on platforms like AWS, Google Cloud, Azure.
• logical reasoning, analytical abilities, and creativity in designing solutions.
• Strong desire to learn new technologies, tools, and research.
• work effectively in cross-functional teams.
• Ability to work in a fast-paced and agile development environment and to learn new frameworks/stacks.

Our team is seeking a skilled AI Development Expert to design and build data pipelines that support AI and analytics initiatives.

• We are looking for someone who can work with Copilot Studio for AI-driven application development and automation.
• The ideal candidate will have hands-on expertise in Microsoft Azure services and practical implementation experience with Copilot Studio.
• They should also have proven experience in RAGs (design, creation, and deployment) and strong programming/scripting knowledge and experience with ETL/ELT, data warehousing, and API integrations.

Key Responsibilities:

• Implement AI Foundry solutions on Microsoft Azure, ensuring scalable, secure, and cost-effective architecture.
• Develop RAGs (Retrieval-Augmented Generation) solutions for enterprise AI use cases.
• Collaborate with data scientists, solution architects, and business stakeholders to deliver AI-enabled data products.
• Manage and optimize data storage, integration, and retrieval strategies across structured and unstructured data sources.
• Ensure best practices in data governance, security, and compliance within Azure cloud infrastructure.

Requirements:

• Excellent communication skills and ability to work in fast-paced environments.
• Strong problem-solving skills and excellent collaboration skills.

Skills:

• Microsoft Azure.
• PySpark.
• Factory.
• Azure.
• Pipelines.
• Software Engineering.
• Architects.
• Application Development.
• JavaScript.
• Data Governance.
• SQL.
• Python.
• API.
• Data Warehousing.
• Software Development.

Job Scope:

1. Strong experience in Natural Language Processing (NLP) techniques, specifically for automated summary generation.
2. Proficiency in relevant tools and libraries such as Python, HuggingFace, scikit-learn, spaCy, or equivalent frameworks.
3. Hands-on involvement in developing AI-powered solutions within education or HR domains, such as:AI-based transcript generation.
4. Competency or skills mapping.
5. Skills-to-job matching platforms.
6. Proven ability to design and align AI outputs with established skills frameworks (e.g., SkillsFuture, TSP attributes).
7. Strong proficiency in building, consuming, and integrating RESTful APIs.
   
   Experience in data ingestion workflows, bulk upload processing, and ensuring interoperability between systems.
   
   Familiarity with system-to-system communication protocols, particularly within educational institutions or government IT ecosystems.
8. Familiarity with the OpenCerts JSON schema and blockchain-based credential signing/verification processes.
   
   Ability to format and generate data to meet OpenCerts specifications. (Reference: OpenCerts)
9. Experience working in Agile Scrum teams.
   
   Comfortable collaborating closely with Product Owners, UX/UI teams, and data teams within sprint cycles.
   
   

We are seeking a highly skilled Software Engineer to support the development and validation of advanced Generative AI systems. The ideal candidate will work on integrating and customizing libraries to enforce safety, reliability, and compliance in GenAI outputs.

• Develop and maintain scripts for testing and validating GenAI models.
• Build frameworks to enforce output constraints and safety checks.
• Design validation frameworks for RAG-based GenAI systems.
• Collaborate with cross-functional teams.

Requirements:

• More than 1 year of experience in Gen AI Engineering, more than 3 years of experience in AI Engineering is preferable.
• Strong proficiency in Python programming language.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks.
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

The ideal candidate should have strong skills in the following areas:

• Pandas
• Pipelines
• Data Structures
• REST
• JavaScript
• Reliability
• SQL
• Flask
• Compliance
• Java
• Debugging
• API
• Databases
• Django
• Software Development

Join to apply for the
AI Developer
role at
Ministry of Defence of Singapore .
What The Role Is
You will delve into technical solutions, collaborate with operational users to acquire datasets and models for the Singapore Armed Forces (SAF) as a product developer.
What You Will Be Working On
Stay updated with the latest developments in Artificial Intelligence and Machine Learning (AI/ML) technology.
Proactively identify, initiate, and promote worthwhile engineering projects across the SAF.
Work with operational users to acquire datasets and models.
Develop and implement AI/ML solutions for SAF use.
Challenges
Maintain an in-depth understanding of AI/ML and programming languages like Python.
Stay informed about the latest AI/ML technologies and understand their application and impact to ensure beneficial deployment within the SAF.
What We Are Looking For
Educational background in quantitative, scientific, and technological disciplines such as Mathematics, Statistics, Computer Science, Data Science, and Analytics.
At least 3 years of relevant work experience preferred.
Deep understanding of AI/ML, including supervised and unsupervised learning, neural networks, and deep learning.
Hands-on experience with current AI tools like TensorFlow and PyTorch.
Ability to multitask and work under stressful environments.
Strong leadership qualities, good planning abilities, and communication skills.
Proficiency in data structures and algorithms.
(Applicants with no experience may also apply.)
Only shortlisted candidates will be notified.
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Government Administration
#J-18808-Ljbffr

Key Responsibilities:

• Assist the Technical Manager in designing, developing, testing, and implementing AI software for Building Automation and Facility Management.
• Designing and implementing Generative AI solutions using Large Language Models to solve domain specific problems.
• Developing initial versions of AI applications for testing and feedback.
• Refining AI models for improved performance, accuracy, efficiency, and scalability.
• Integrating trained AI models into production environments and existing software systems, ensuring seamless interaction between AI components and broader software.
• Continuously monitoring AI performance in production environments, troubleshooting errors, and updating models to ensure ongoing accuracy and efficiency.
• Designing custom AI solutions to help businesses automate tasks, optimize processes, and make data-driven decisions.
• Analyzing AI-generated outputs, identifying issues, and developing innovative solutions to complex challenges in AI system design and optimization.

Requirements:

• Bachelor’s degree in computer science, MIS, Software Engineering, or Information Systems.
• 4+ years of hands-on experience software development for Artificial Intelligence and Machine Learning.
• Knowledge of Natural Language Processing (NLP), Generative AI and Large Language Models (LLM) and how to leverage them for applications.
• Proficient in using leading LLMs (Gemini, GPT-4), with experience in context window management and token cost optimization.
• Skilled in designing and implementing end-to-end GenAI architecture, covering prompt engineering, embeddings and vector stores, RAG, function calling, MCP, multi-agent systems, and fine-tuning (LoRA), and has hands-on experience with using relevant tools.
• Experience building production-grade agents and knowledge-based QA systems using LangChain.
• Proficient in Java, and Python programming.
• Experience with SQL/NoSQL databases for data manipulation, analysis, and interpretation.
• Experience with AI/ML services on platforms like AWS, Google Cloud, Azure.
• logical reasoning, analytical abilities, and creativity in designing solutions.
• Strong desire to learn new technologies, tools, and research.
• work effectively in cross-functional teams.
• Ability to work in a fast-paced and agile development environment and to learn new frameworks/stacks.

We are seeking a skilled AI Engineer to design, develop, and integrate Generative AI solutions across our suite of applications.

In this role, you will contribute to various projects, leveraging your backend engineering expertise to deliver tangible results.

You will be responsible for building intelligent features, from chatbots to AI-powered content tools, by connecting our systems to large language models (LLM) and implementing sophisticated RAG architectures.

• Architect and build production-ready AI features and services within our backend systems.
• Implement and optimize end-to-end AI workflows, including Retrieval-Augmented Generation (RAG), prompt engineering, and function calling to solve specific business problems.
• Develop and maintain robust RESTful APIs to connect our AI services with various front-end and back-end components.
• Utilize AI orchestration frameworks (e.g., LangChain) to manage complex interactions with LLM APIs efficiently and reliably.
• Monitor and improve the latency, accuracy, and cost-effectiveness of our AI systems.
• Work within an agile environment, collaborating closely with product managers and other engineers to deliver high-impact solutions.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2+ years of professional software development experience.
• Strong proficiency in at least one of our primary backend languages: Python or Java. Experience working in a polyglot environment is highly desirable.
• Proven experience building applications using managed AI services on major cloud platforms (e.g., Azure OpenAI, Google Vertex AI, AWS Bedrock).
• Hands-on experience with the concepts and implementation of RAG, embeddings, and vector stores.
• Familiarity with AI orchestration frameworks like LangChain.
• Solid experience with API design (REST) and microservices architecture.
• Experience with containerization (Docker) and CI/CD workflows.
• A proactive problem-solver with strong communication skills and the ability to adapt to new challenges and technologies.