458 AI Developer jobs in Singapore

PrimusTech Pte Ltd is a Master Systems Integrator (MSI) for buildings and facilities, as well as a mechanical engineering solutions provider. With over 25 years of experience, our award-winning team handles projects for both public and private infrastructure. We offer Integrated Building Management Systems (IBMS) and Smart Facility Management Systems through our in-house developed Sirius+ framework. Based in Singapore, PrimusTech boasts an extensive portfolio of satisfied clients.

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.

Responsibilities:

• Develop and implement AI models using machine learning and deep learning techniques to solve complex business problems.
• Develop and implement machine learning algorithms to enhance AI capabilities.
• Collaborate with data scientists and engineers to optimize AI models and improve performance.
• Design and integrate natural language processing systems for AI-powered applications.
• Research and implement cutting-edge AI technologies and frameworks.
• Create and maintain documentation for AI model development and deployment processes.
• Test and validate AI models to ensure accuracy and reliability in real-world scenarios

Requirements:

• At least 2-3 years of experience in AI engineering or machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
• Experience in deploying machine learning models into production.
• Strong proficiency in for building modern, responsive web applications.
• Proficiency in for backend development and API creation.
• Experience with JavaScript, HTML, CSS, and other front-end technologies.
• Familiarity with cloud platforms like AWS or Azure for deploying and scaling applications.
• Experience with database management systems (e.g., SQL, NoSQL).
• Ability to work with APIs and integrate third-party services.

Our Address and Working Hours:

Seatrium Pioneer Yard

50 Gul Road Singapore

(Island wide transport provided)

Mon - Thu: 8am - 5:15pm, Fri: 8am to 4:30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

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

Knowledge of Agile

MINDEF

Permanent/Contract

Closing in 2 day(s)

What the role is

You deep dive into technical solutions, work 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 up-to-date with the latest developments in Artificial Intelligence and Machine Learning (AI/ML) technology
• Proactively identify, initiate and promulgate worthwhile engineering projects across the SAF
• Work with operational users to acquire datasets and models
• Develop and implement AI/ML solutions for SAF use
  Challenge(s):
• Maintaining in-depth understanding of AI/ML and languages like Python
• Staying acquainted with the latest AI/ML technologies and understanding their application and impact to ensure the deployment of AI/ML tools is beneficial to the SAF

What we are looking for

• Education in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Computer Science, Data Science and Analytics
• At least 3 years of relevant work experience is 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 multi-task and work under stressful environments
• Strong leadership traits, good planning abilities, and communication skills
• Proficiency in data structures and algorithms
  (Applicants with no experience may .)
  Only shortlisted candidates will be notified.

About MINDEF

The mission of MINDEF and the Singapore Armed Forces is to enhance Singapore's peace and security through deterrence and diplomacy, and should these fail, to secure a swift and decisive victory over the aggressor.
The Defence Executive Officer (DXO) scheme is the non-uniformed career scheme of MINDEF that offers myriad opportunities in various job functions, such as corporate communications, cyber security, data analytics and visualisation, defence policy, finance, HR, psychology, and more. Embodying the same level of commitment towards defence, DXOs work together with their military counterparts to contribute to MINDEF/SAF's mission and ensure Singapore's security and stability. United by this common cause, our lines of defence complement each other to secure the prosperity and progress of our nation.

About your application process

This job is closing in 2 day(s).

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MINDEF or the wider Public Service.

Key Responsibilities:

• Software Development: Design, develop, and maintain high-performance software applications and systems using C++ for core functionalities where performance and efficiency are critical, and Python for scripting, automation, rapid prototyping, data processing, and integration with other systems.
• System Integration: Integrate C++ components with Python-based systems or services, potentially using tools like SWIG or PyBind11, to create comprehensive solutions.
• Performance Optimization: Identify and resolve performance bottlenecks in C++ code, and optimize Python scripts for efficiency.
• Testing and Debugging: Develop and execute unit, integration, and system tests for both C++ and Python codebases. Diagnose and debug issues across different language environments.
• Collaboration: Work closely with cross-functional teams (e.g., hardware engineers, data scientists, QA) to define requirements, design solutions, and ensure seamless integration.
• Code Quality and Documentation: Adhere to coding standards, participate in code reviews, and maintain comprehensive technical documentation for both C++ and Python components.
• Tooling and Automation: Utilize Python for developing build scripts, testing frameworks, and other automation tools to streamline the development and deployment process.

Required Skills:

• MicroPython or Rust or C/C++
• Good English communications

Job Title:

AI Developer – Big Data Analytics & Machine Learning

About the Role

We are seeking an experienced AI Developer with strong expertise in Big Data analytics, machine learning, and AI-driven solutions to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying AI-powered data models, working with large datasets, and enabling data-driven decision-making for business growth and operational excellence.

Key Responsibilities

• AI Model Development – Design, build, and deploy machine learning and deep learning models for predictive analytics, classification, clustering, recommendation systems, and anomaly detection.
• Big Data Processing – Develop and maintain pipelines for processing large-scale datasets from multiple sources using tools like Apache Spark, Hadoop, or cloud-based data platforms.
• Data Engineering – Work closely with data engineers to ensure data quality, accessibility, and scalability for AI applications.
• Model Evaluation & Optimization – Conduct experiments, optimize hyperparameters, and improve model performance for accuracy, efficiency, and scalability.
• Integration – Collaborate with software engineers to integrate AI models into production systems and applications.
• Data Visualization & Reporting – Create dashboards and visual analytics to present insights to stakeholders using tools such as Power BI, Tableau, or custom-built solutions.
• Research & Innovation – Keep abreast of emerging AI/ML technologies, frameworks, and best practices to ensure continuous improvement in solutions.

Requirements

Education & Experience:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field.
• 3+ years of hands-on experience in machine learning model development and big data analytics.

Technical Skills:

• Proficiency in Python, R, or Scala for data science and machine learning development.
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost).
• Strong knowledge of big data platforms (Apache Spark, Hadoop, Databricks) and data pipelines (Airflow, Kafka, etc.).
• Solid understanding of SQL and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments.
• Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring).

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a cross-functional environment.

Preferred Qualifications

• Experience with natural language processing (NLP), computer vision, or reinforcement learning.
• Knowledge of real-time data analytics and streaming data pipelines.
• Exposure to business intelligence tools and advanced statistical analysis.

What We Offer

• Competitive salary and performance-based bonuses.
• Opportunity to work on cutting-edge AI and big data projects with real-world impact.
• Professional development support, including training in emerging AI/ML technologies.
• Collaborative and innovative work culture.

Job Types: Full-time, Permanent, Contract

Contract length: 60 months

Pay: From $1,000.00 per month

Benefits:

• Work from home

Work Location: Remote

Position Overview

We are seeking a 
Creatio AI Certified Developer
 to design, develop, and implement AI-driven applications, workflows, and automations on the Creatio platform. The ideal candidate will have a strong foundation in Creatio development, AI/ML integration, low-code/no-code configuration, and the ability to translate business requirements into scalable solutions.

Key Responsibilities

• Develop, configure, and customize applications within the 
  Creatio platform
  , leveraging AI features and extensions.
• Design and implement 
  intelligent workflows
  , chatbots, and predictive models to optimize business processes.
• Integrate Creatio with third-party APIs, AI services, and enterprise systems.
• Collaborate with business analysts, solution architects, and stakeholders to gather requirements and translate them into technical deliverables.
• Ensure best practices in 
  low-code development, AI model deployment, and system security
  .
• Monitor and maintain deployed AI models, ensuring performance, accuracy, and compliance.
• Provide technical support, documentation, and training to internal teams.

Required Qualifications

• Creatio AI Certification
   (mandatory).
• Proven experience as a 
  Creatio Developer
   with expertise in configuration, scripting (JavaScript, C#), and BPM engine.
• Strong knowledge of 
  AI/ML concepts
   and their application within low-code/no-code environments.
• Hands-on experience with 
  AI services
   (Azure Cognitive Services, Google Cloud AI, OpenAI, or similar).
• Understanding of 
  data integration, REST/SOAP APIs, and web services
  .
• Excellent problem-solving skills and ability to work in cross-functional teams.

Preferred Qualifications

• Prior experience in 
  insurance, financial services, or CRM-focused projects
  .
• Knowledge of 
  process automation, RPA, and advanced analytics
  .
• Familiarity with 
  DevOps, CI/CD pipelines, and cloud deployment
  .
• Strong communication and stakeholder engagement skills.

WE TAKE YOU ABOVE BEYOND

Take your passion to the next level and work alongside other masters of their craft to build a fulfilling and rewarding career at Marina Bay Sands.

Job Summary

At Marina Bay Sands, the primary responsibility of the Senior Developer will be to execute all Development related activities for local MBS IT Projects whilst aligning to standards & best practices followed within the organization.

Job Responsibilities

• Execute application development deliverables and activities
• Design, develop, and deploy scalable AI/ML/DL models using state-of-the-art techniques.
• Build, fine-tune, and operationalize LLMs and Agentic AI systems for enterprise-grade applications.
• Leverage Azure OpenAI and other cloud-native services to implement advanced AI capabilities.
• Collaborate with data engineers to ensure seamless data pipeline integration and model deployment.
• Implement robust MLOps/DevOps practices for continuous integration, delivery, and monitoring of AI models.
• Translate complex business requirements into technical solutions in collaboration with cross-functional teams.
• Optimize model performance for scalability, reliability, and production-readiness.
• Stay abreast of the latest advancements in AI, ML, and cloud technologies, and apply them to real-world problems.
• Participate in various phases of the Software Development Life Cycle (SDLC) for IT Projects and to interface with various IT stakeholders such as 3rd party vendor suppliers, business analysts and project managers to perform development activities
• Documenting the application and database design
• Conducting Peer code reviews and Unit Testing
• Work closely with the Application Development team and QA teams to ensure any defects highlighted in QA or UAT phases are remediated.
• Adhere to SDLC, and Project Governance internal and regulatory (Sarbanes Oxley & Gaming Regulatory Authority) guidelines, policies, and procedures.

Job Requirements

Education & Certification

• Bachelor's / Master's degree in Computer Science, Information Technology, or related field.

Experience

• Minimum 5 years of hands-on experience in AI/ML/DL development, with a strong focus on Deep Learning and Generative AI.
• Proficient in Python, PyTorch/TensorFlow, Apache Spark, and SQL.
• Experience in one or more OSS frameworks for ML ops like Kubeflow / MLFlow
• Demonstrated experience with Azure AI services, particularly Azure OpenAI and Azure Machine Learning.
• Exposure to data engineering tools and concepts (e.g., Azure Data Factory, Delta Lake).
• Hands-on experience with modern Generative AI architectures, including Agentic AI frameworks (e.g., LangChain, LangGraph, MCP, Semantic Kernel), and Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and advanced prompt engineering techniques.
• Experience delivering solutions using both agile and waterfall methodologies in fast-paced environments.
• Solid understanding of DevOps and MLOps practices, including tools such as GitHub Actions, Azure DevOps, MLflow, and version control systems, with additional familiarity in DevSecOps approaches for embedding security into the development and deployment lifecycle.

Other Prerequisites

• Strong communication skills with the ability to engage diverse stakeholders and demonstrate proactiveness.

Marina Bay Sands is committed to building a diverse, equitable and inclusive workforce, providing equal opportunities as we grow our talent base to match our growth ambitions in Singapore. Our employees are committed to adhere to and abide by all rules, regulations, policies and procedures, including the rules of conduct and business ethics of the Company.

We're looking for a hands-on GenAI Developer to design and productionize intelligent agentic systems powered by LLMs, computer vision, and vector databases. You'll build autonomous agents that reason, retrieve, and act - driving real-world GenAI applications from prototype to production.

This is a true builder role for someone who enjoys taking ideas from notebooks to live users. You'll work closely with Software and AI Engineers to integrate workflows into production and shape how our agents interact with tools, memory, data, and humans.

●    Design and improve LLM-powered agents for task planning, execution, retrieval, and memory.

●    Build modular agent stacks using frameworks like LangChain, CrewAI, AutoGen, or custom orchestrators.

●    Develop workflows that connect agents to APIs, computer vision models, and vector databases.

●    Lead prompt engineering, RAG pipelines, and multi-agent coordination strategies.

●    Collaborate with engineers to productionize agents with proper observability and debuggability.

●    Evaluate agent behavior through logging, telemetry, and custom evaluation tools.

●    Contribute to architecture patterns such as task workflows, tool interfaces, memory optimization, and feedback handling.

●    Work with infrastructure teams to deploy agentic systems to production, ensuring monitoring, scaling, and rollback safety.

●    Ensure compliance with Model Context Protocol (MCP) standards for structured context and execution.

● years in software/AI development, including 2+ years building LLM-driven applications.

●    Strong Python skills with experience in reusable agent stacks or RAG pipelines.

●    Hands-on with LLM APIs (OpenAI, Anthropic, HuggingFace, etc.) and building prompt/tool workflows.

●    Experience integrating vector databases (Weaviate, FAISS, pgvector, Pinecone).

●    Familiarity with multi-agent orchestration (CrewAI, AutoGen, LangGraph, or custom).

●    Experience shipping AI tools or services into production with containerization and cloud platforms (Docker, Kubernetes, GCP/AWS).

●    Understanding of agent design (memory management, context management, tool contracts).

●    Knowledge of Model Context Protocol (MCP) or similar standards.

●    Experience with agent evaluation, prompt testing, and reducing hallucinations/latency.

●    Exposure to hybrid workflows combining LLMs with computer vision.

●    Knowledge of event-driven or streaming agents (Kafka, LCEL, reactive frameworks).

●    Experience building simple interfaces with Streamlit, Gradio, or browser automation.

●    Familiarity with fine-tuning techniques (LoRA/QLoRA) or multi-modal agent training.

●    Small, agile team (5–6 engineers + interns) with autonomy and real ownership.

●    Startup feel with a big company resources:

○    International environment where the majority of the team and leadership is from startups or big international corporations and from various countries.

○    Low-bureaucracy, high-impact startup environment where your code directly supports next-gen AI deployment.

○    Experimentation and self-development are in our culture

○    Knowledge sharing and collaboration

●    Direct collaboration with top AI researchers and computer vision scientists.

●    Hybrid work setup: ~2–3 days in office per week.