226 AI Developer jobs in Singapore

Project description

We are seeking a dynamic and experienced AI Developer who can lead by example and who possess strong technical skills, a quick-to-learn attitude, and see team management as a growth opportunity.

Responsibilities

• Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
• Lead the integration of LLMs and LangChain into business processes.
• Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
• Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
• Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.

SKILLS

Must have

• Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
• Python is a must, with at least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
• Proficiency in other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.
• Possess strong problem-solving and strategic thinking abilities.
• Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches
• Agentic AI / Generative AI solution design and implementation
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

Nice to have

Knowledge of Agile

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• Develop and deploy advanced analytics solutions leveraging AI, ML, DL, and Generative AI models.
• Collaborate with stakeholders to understand business challenges and design data-driven solutions.
• Build, test, and optimize machine learning pipelines and automation processes using Python.
• Work with relational and non-relational databases; write efficient SQL queries.
• Implement asynchronous programming techniques to enhance system performance.
• Design and develop scalable applications and APIs using frameworks like Django and Flask.
• Create and integrate REST APIs for seamless data exchange between systems.
• Deploy and manage analytics solutions in production environments.
• Troubleshoot and resolve issues in deployment, automation, and analytics workflows.

• Bachelor's/Master’s degree in Computer Science, Data Science, or a related field.
• 1+ years of hands-on experience in analytics and AI/ML solution development.
• Proficient in Python and Python-based automation techniques.
• Solid understanding of AI/ML/DL concepts and familiarity with Generative AI models.
• Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, MongoDB).

• Entry level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

This job is active and accepting applications.

Responsibilities:

1. Develop and deploy advanced analytics solutions leveraging AI, ML, DL, and Generative AI models.

2. Collaborate with stakeholders to understand business challenges and design data-driven solutions.

3. Build, test, and optimize machine learning pipelines and automation processes using Python.

4. Work with relational and non-relational databases; write efficient SQL queries.

5. Implement asynchronous programming techniques to enhance system performance.

6. Design and develop scalable applications and APIs using frameworks like Django and Flask.

7. Create and integrate REST APIs for seamless data exchange between systems.

8. Deploy and manage analytics solutions in production environments.

9. Troubleshoot and resolve issues in deployment, automation, and analytics workflows.

Requirements:

1. Bachelor's/Master’s degree in Computer Science, Data Science, or a related field.

2. 1+ years of hands-on experience in analytics and AI/ML solution development.

3. Proficient in Python and Python-based automation techniques.

4. Solid understanding of AI/ML/DL concepts and familiarity with Generative AI models.

5. Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, MongoDB).

Job Scope

1. Microsoft Stack Ownership: Develop and maintain robust backend solutions using ASP.NET MVC / ASP.NET Core, integrate them with frontend frameworks, and ensure seamless user experiences.
2. Azure Integration: Use Azure services (e.g., Azure AI / Cognitive Services, Azure Functions, Azure App Service, Azure SQL, Key Vault) to build secure, scalable, and resilient AI-enabled applications.
3. Collaboration: Work closely with product managers, designers, and fellow engineers to define AI-powered features aligned with business goals.
4. Performance & Security: Optimize applications for speed, cost, and security, following modern DevOps and secure coding best practices.
5. Continuous Learning: Stay updated with cutting-edge AI advancements and identify how they can be applied to deliver innovative solutions.

Job Description

1. Develop and maintain web applications using ASP.NET MVC or ASP.NET Core, integrating AI capabilities through APIs or embedded model inference.
2. Design and implement microservices or serverless architectures on Azure, using resources like Azure Functions, Azure Container Instances, and Azure Storage.
3. Build and secure RESTful APIs, ensuring they scale and perform under load.
4. Fine-tune and customize AI models, or build pipelines to process and analyze data.
5. Write clean, maintainable, and testable code, and participate in peer code reviews.
6. Contribute to infrastructure automation and CI/CD pipelines on Azure DevOps or GitHub Actions.

Skills & Qualifications

1. Strong proficiency in C# and ASP.NET MVC / ASP.NET Core, with solid understanding of controllers, dependency injection, middleware, and routing.
2. Hands-on experience deploying, managing, and troubleshooting applications in Microsoft Azure (App Services, Functions, SQL Database, Storage, Key Vault, etc.).
3. Familiarity with integrating AI services or machine learning models into .NET applications (via REST APIs or SDKs).
4. Good grasp of JavaScript or TypeScript and modern frontend concepts (React, Vue, or even Razor Pages) to build or integrate with AI-driven UIs.
5. Solid understanding of software engineering principles, OOP, design patterns, and best practices.
6. Experience working with REST APIs, JSON, and handling asynchronous programming in C#.

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.
   

Responsibilities:

• Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
• Lead the integration of LLMs and LangChain into business processes.
• Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
• Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
• Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.

Mandatory Skills Description:

Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
• Proficiency in Python and other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.
• Possess strong problem-solving and strategic thinking abilities.
• Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches
• Agentic AI / Generative AI solution design and implementation
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

Nice-to-Have Skills Description:

Knowledge of Agile

Responsibilities:

• Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
• Lead the integration of LLMs and LangChain into business processes.
• Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
• Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
• Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.

Mandatory Skills Description:

Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
• Proficiency in Python and other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.
• Possess strong problem-solving and strategic thinking abilities.
• Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches
• Agentic AI / Generative AI solution design and implementation
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

Nice-to-Have Skills Description:

Knowledge of Agile

Project description

We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions.

Responsibilities

• Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
• Lead the integration of LLMs and LangChain into business processes.
• Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
• Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
• Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.

SKILLS

Must have

• Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
• Proficiency in Python and other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.
• Possess strong problem-solving and strategic thinking abilities.
• Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches
• Agentic AI / Generative AI solution design and implementation
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

Nice to have

Knowledge of Agile

• We are seeking a dynamic and experienced AI Developer who can lead by example and who possess strong technical skills, a quick-to-learn attitude, and see team management as a growth opportunity.
• Responsibilities:• Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
  • Lead the integration of LLMs and LangChain into business processes.
  • Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
  • Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
  • Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
  • Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
• Mandatory Skills Description:• Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
  • Python is a must, with at least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
  • Proficiency in other applicable programming languages.
  • Strong knowledge of machine learning, data mining, and predictive modeling.
  • Excellent understanding of machine learning algorithms, processes, tools, and platforms.
  • Possess strong problem-solving and strategic thinking abilities.
  • Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches
  • Agentic AI / Generative AI solution design and implementation
  • Exceptional communication, documentation and presentation skills and stakeholder management experiences