1,017 AI Engineer jobs in Singapore

• Proactively identify and engage with high-value business opportunities and potential clients who can significantly benefit from advanced AI and machine learning solutions.
• Deeply understand client business challenges, pain points, and strategic goals, translating them into clear, solvable AI/ML problems.
• Design end-to-end AI solutions, articulating compelling value propositions and the strategic roadmap for adoption.
• Conduct in-depth assessments of client data infrastructure, data governance, data quality, and overall data maturity.
• Make expert judgment calls on data "AI-readiness" and provide actionable recommendations for data improvement, gap identification, and strategic data capitalization opportunities.
• Rapidly develop functional AI prototypes and Proof-of-Concepts (POCs) that are architecturally sound, adhere to best practices for maintainability, and are designed for production.
• Continuously research and evaluate the latest AI advancements, including Generative AI, Large Language Models (LLMs), Deep Learning, and MLOps methodologies. Synthesize findings into actionable insights, influencing our company's strategic roadmap, service offering development, and contributing to industry thought leadership through presentations to leadership and external forums (moderate to high emphasis).
• Collaborate effectively with the internal AI Production team, ensuring prototypes and solution designs are well-documented, understood, and seamlessly integrated into the full development lifecycle.
• Clearly define the business case, expected return on investment (ROI), and measurable benefits of proposed AI/ML implementations, simplifying complex technical concepts for non-technical audiences.

• 1 year contract (Convertible to permanent depending on KPI result)

• Marina One

• Mon - Fr: 8.30am-5.30pm

• 4,000- 6,000 + 1 month contract completion bonus

• Minimum Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.
• At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client-facing or consulting capacity.
• Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production.
• Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications.
• Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions).
• Proficiency with Docker for containerization and a foundational understanding of container orchestration (e.g., Kubernetes concepts for GKE).
• Solid understanding of MLOps principles for reproducibility, experiment tracking (e.g., MLflow, Vertex AI ML Metadata/Model Registry), and model versioning.
• High-level expertise in data governance frameworks, data quality assessment (including tools/libraries like Great Expectations), metadata management (e.g., Google Cloud Data Catalog), and data architecture principles.
• Strong expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads.
• A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator.
• Experience in the container shipping industry or related logistics/supply chain domains is highly advantageous.
• Excellent presentation, documentation, and stakeholder management skills.

• Translating business needs into AI agent solutions.
• Rapid prototyping of new ideas and evaluate performance.
• Building scalable, production-ready agent architectures.
• Designing and building AI agents (customer service bots, workflow automation, decision-support systems).
• Integrating LLMs (OpenAI, Anthropic, Meta LLaMA) with APIs, databases, and internal systems.
• Implementing reasoning, planning, memory, and tool-use capabilities in agents.
• Optimizing performance, latency, and reliability.
• Performing model updates, prompt refinements, and minor enhancements under guidance.
• Ensuring AI workflows and integrations (Microsoft 365, Power Platform) run smoothly.
• Troubleshooting and resolving technical issues.
• Documenting systems and AI workflows, updates, and best practices for internal teams.
• Training internal teams to adopt AI tools.
• Training and assisting AI applications built on Azure OpenAI, Cognitive Search, and Semantic Kernel.
• Tracking usage, costs, and performance metrics, providing insights for optimization.
• Staying up to date with the latest developments in Generative AI and Microsoft AI tools as well as state-of-the-art agent frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, etc.); applying them to improve existing solutions.

• 3 years in Python programming.
• Exposed to ML frameworks (PyTorch, Hugging Face, or scikit-learn).
• Knowledge of Microsoft Azure AI stack (Azure OpenAI, Cognitive Search, Azure Machine Learning).
• Knowledge of of REST APIs and system integration.
• Able to communicate across both technical and non-technical stakeholders.
• Advantages to have
• LLM applications, RAG pipelines, or prompt engineering.
• Microsoft Power Platform (Power BI, Power Automate).
• Responsible AI practices (fairness, bias, compliance).

• Design and implement AI workflows for:
  • Natural Language Understanding (NLU) for chat-based financial input.
  • Speech-to-Text (ASR) and OCR for receipts, invoices, and bank statements.
  • AI-generated reports & insights (weekly/monthly spending reviews, saving suggestions).
• Fine-tune and integrate LLMs (OpenAI, Anthropic, LLaMA, etc.) for financial use cases.
• Build scalable pipelines with frameworks like LangChain, Dify, or RAG architectures.
• Work closely with product & engineering teams to deliver user-friendly features.
• Ensure data privacy & security in AI processing (sensitive financial data).

• Bachelor's or Master's degree in Computer Science, AI, or related fields.
• Strong proficiency in Python and deep learning frameworks (PyTorch/TensorFlow).
• Experience with LLMs, NLP, ASR, or OCR models.
• Familiar with AI workflow frameworks (LangChain, Haystack, RAG).
• Strong problem-solving skills and ability to prototype quickly.
• Passion for fintech and AI-driven products.
• Bonus: Previous experience in finance-related AI, recommendation systems, or chatbot development.

• Competitive salary + stock options (founding team equity possible).
• Opportunity to work on a global product from day one.
• Dynamic startup environment with autonomy and ownership.
• Office in Singapore with hybrid flexibility.
• Teamwork: Strong collaboration skills to work effectively with cross-functional teams, including product and overseas engineering partners.
• Able to communicate in mandarin to work with chinese-speaking counterparts.

• Startup Phase: SGD 6,000-9,000/month
• Plus equity incentives for the founding team

• Design, develop, and implement AI-driven features and applications, with a primary focus on chatbot development and conversational AI, that meet business and user needs.
• Write clean, efficient code in Python to build and integrate machine learning models. Leverage frameworks and libraries for working with large language models and natural language processing pipelines.
• Utilize cloud services to train, deploy, and manage machine learning models, ensuring solutions are scalable, secure, and reliable.
• Test, debug, and fine-tune AI models and chatbot systems. Monitor performance and accuracy and iterate on solutions to improve response quality and system efficiency.
• Work closely with senior AI engineers, data scientists, and product managers to understand project requirements and translate them into technical solutions. Assist in integrating AI capabilities into existing products, providing technical support to team members during development.
• Contribute to creating and maintaining technical documentation, including software design documents and user guides for AI components. Ensure that knowledge is shared and technical clarity is maintained across the team.

• Fresh graduates are welcome to apply
• Bachelor's degree in computer science, Data Science, or a related field. Equivalent practical experience or relevant certifications in AI/ML will also be considered.
• Understanding of machine learning and deep learning concepts. Exposure to building or training models for natural language processing or similar AI applications
• Experience or projects involving chatbot development or conversational AI systems. Understanding of how dialog systems and language models work, and ability to implement simple conversational flows.
• Strong analytical and problem-solving skills, with a willingness to tackle complex technical challenges.
• Good communication skills and the ability to work effectively in a team environment. Comfortable collaborating in a cross-functional, multicultural team and capable of explaining technical concepts to non-technical colleagues when needed.
• Familiarity with Kubernetes (K8s) for GPU workloads (e.g., KubeFlow, Volcano).
• Contributions to open-source ML frameworks (e.g., PyTorch, DeepSpeed, vLLM).
• Experience with inference serving frameworks (e.g., vLLM, TensorRT-LLM, Triton, Hugging Face TGI).

• Participate in the development and integration of advanced large language model (LLM) projects;
• Design and implement model research, fine-tuning, or deployment pipelines based on Transformer architecture;
• Build agentic AI systems that combine memory, tools, APIs, and reasoning to solve real-world tasks;
• Work closely with product and engineering teams to deploy AI applications in enterprise environments;
• Stay updated with the latest advances in foundation models (e.g., OpenAI, Gemini, Deepseek, Anthropic), and help translate research into product innovation.

• Master's or Ph.D. degree in Computer Science, AI, or a related technical field;
• Fresh graduates from NUS, NTU, SMU or equivalent top institutions are encouraged to apply;
• EP sponsorship is available for qualified overseas candidates.

• Solid understanding of Transformer-based LLM architectures, fine-tuning, or retrieval-augmented generation (RAG);
• Experience with AI frameworks such as PyTorch or TensorFlow ;
• Proficient in programming languages such as Python (preferred) or Java ;
• Familiarity with AI agent frameworks (e.g., LangChain) and tools such as Cursor, WindSurf, etc.;
• Experience with cloud platforms like AWS or Azure is a plus.

• Strong analytical and communication skills;
• Self-motivated with a passion for innovation and emerging technologies;
• Ability to work independently and deliver high-quality code and ideas.

• Contribute to the design, development, and optimization of AI-RAN systems to improve the performance of wireless access networks.
• Identify bottlenecks in RAN systems using AI technologies and implement solutions to enhance efficiency.

• Apply machine learning, deep learning (including CNN, RNN, LSTM, etc.) to optimize network performance.
• Participate in data preprocessing, feature engineering, model training, and validation to ensure model accuracy and efficiency.

• Work closely with wireless communication engineers and R&D teams to ensure the successful deployment and delivery of AI-RAN systems.
• Ensure the scalability and long-term optimization of AI-RAN systems through collaboration.

• Stay up-to-date with the latest developments in AI technology and continuously enhance technical expertise.
• Apply cutting-edge AI advancements to RAN systems, driving innovation and technology upgrades.

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Telecommunications Engineering, or a related field.

• Solid understanding of AI principles, machine learning, and deep learning technologies
• Minimum 2 years of relevant experience in AI
• Prior experience in AI-RAN systems is a plus

• Proficiency in programming languages such as Python and C++ for developing and maintaining AI platform features.
• Experience with machine learning and deep learning algorithms, and familiarity with frameworks like TensorFlow, PyTorch.
• Practical experience with data analysis, training, and tools like Docker, Kubernetes, Git, etc.
• Knowledge of at least one architecture and experience in high-performance computing (e.g., GPU, X86, ARM).

• Strong desire for continuous learning and self-improvement.
• Excellent communication skills and the ability to work well within a team.
• Problem-solving ability and the capacity to make quick decisions in high-pressure situations.

• Knowledge of advanced AI fields such as multimodal AI, AIGC, NLP, and LLM.
• Familiarity with RAG and Agent modes, and experience with tools like Langchain, LlamaIndex, and SemanticKernel is a plus.

• 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: 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.

• Design and develop humanoid robotic systems or alternative automated solutions (e.g., drones) for container inspection tasks.
• Evaluate and prototype AI-driven automation tools to enhance inspection efficiency and address workforce limitations.
• Develop a hybrid human-robot interaction framework, allowing seamless collaboration between human operators and automated systems.
• Ensure robotic systems strictly adhere to safety and operational standards in the maritime environment.
• Collaborate with cross-functional teams (operations, safety and etc.) to deploy AI models in real-world scenarios.
• Stay informed on emerging technologies in robotics and AI, applying best practices and innovations from other industries.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related discipline.
• Proven experience in AI and machine learning projects.
• Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar.
• Experience with developing and deploying AI models.
• Knowledge of natural language processing, computer vision, and speech recognition technologies.
• Excellent problem-solving skills and the ability to work both independently and in a team setting.
• Strong communication skills and the ability to present technical information clearly.

Company Overview

Our client is a forward-thinking AI automation agency committed to transforming businesses through cutting-edge artificial intelligence solutions. Their expertise includes conversational AI, process automation, and the development of custom AI agents. As innovators in the AI transformation landscape, they empower organisations to leverage the latest technologies to drive operational efficiency and business innovation.

Position

Our client is seeking a motivated and analytical AI Engineer to join their team. You will support the design, development, and deployment of AI solutions in collaboration with senior engineers and solution architects. This role offers excellent growth opportunities for someone eager to work on impactful projects in the AI space.

• Assist in designing and developing AI solutions, including chatbots and virtual assistants
• Support automation workflows using code-based and no-code tools
• Configure and fine-tune large language models (LLMs) for client use cases
• Contribute to prompt engineering and conversational design
• Integrate APIs and AI services into client systems
• Join client workshops and technical discussions
• Document implementation steps and assist in testing and QA
• Keep up with emerging AI tools and trends

Foundational Skills

• Basic understanding of AI/ML principles
• Familiarity with OpenAI, Google AI, or Anthropic
• Interest in LLMs and generaCve AI
• Exposure to no-code tools (e.g., Zapier, Make) is a plus
• Basic Python skills and problem-solving mindset
• Awareness of tools like ChatGPT, Whisper, Midjourney

Soft Skills

• Passion for learning and growing in AI
• Strong analytical and problem-solving skills
• Excellent team and communication abilities
• Open to feedback and continuous improvement
• Ability to explain technical concepts clearly

What We Offer

• Hands-on experience with leading AI technologies
• Mentorship from seasoned AI professionals
• A collaborative and innovative work culture
• Competitive salary and benefits
• Flexible work arrangements
• Access to learning and development resources
• Opportunities to work on impactful real-world projects