3,547 AI Software jobs in Singapore

This role focuses on designing and deploying advanced artificial intelligence (AI) and machine learning (ML) capabilities to enhance content discovery and consumption across a global user base.

The engineer will work on large language models, agent workflows, and production-level ML systems, collaborating with a multi-disciplinary team and deploying to millions of users across various platforms.

• Main Responsibilities
• Develop and maintain AI capabilities to support global markets for digital services, understand user behavior, and drive growth.
• Work on innovative projects to help users discover and engage with media content through advanced content intelligence and recommendation systems.
• Contribute to next-generation generative AI features across devices and platforms, supporting millions of users and billions of interactions.
• Enhance content discovery and consumption experience through machine learning-driven solutions.
• Deploy features, code, data, and models into production environments.
• Closely collaborate with world-class engineers, researchers, and analysts to ensure the quality and performance of deployed models.
• Deliver solutions that support millions of devices globally, across operating systems such as mobile, desktop, smart TVs, wearables, and voice assistants.
• Ensure language coverage across a wide variety of regions and cultures.

• Key Qualifications
• At least 2 years of relevant industry experience.
• Strong programming skills in Python.
• Hands-on experience building agent workflows and GenAI applications.
• Experience with Machine Learning techniques and related project work.
• A genuine passion for building high-impact user experiences.

About Cynapse

A leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives.

We are building a team of skilled professionals to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building robust data engineering pipelines to support machine learning model training, evaluation, and deployment.

• Design and Implement AI Solutions: Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions, ensuring project success through strong technical expertise, effective teamwork, and clear communication.
• Data Engineering: Build and maintain scalable data pipelines to support machine learning and AI model training, utilizing tools and technologies such as vector databases, data architectures, and MLOps best practices.
• Machine Learning Model Development: Design, develop, and train AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems, ensuring high-quality, performance, and system reliability.
• Collaboration and Communication: Work closely with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies, and collaborate with project teams to deploy machine learning models into production environments and support post-deployment operations.

• Strong Technical Expertise: Proficiency in programming languages such as Python, Java, or C++, as well as experience with machine learning frameworks, data engineering tools, and AI development platforms.
• Effective Teamwork: Ability to collaborate with cross-functional teams, communicate effectively, and work towards common goals.
• Continuous Improvement: Commitment to continuous learning, staying up-to-date with the latest AI technologies and industry standards, and driving innovation in AI solution design and implementation.

This is an exciting opportunity to join our team and contribute to the development of cutting-edge AI solutions. If you are passionate about AI and want to be part of a dynamic and innovative team, please apply.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are interested in this position, please submit your resume and cover letter.

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Job Responsibilities
Design, develop, and deploy scalable AI-powered solutions, integrating AI/ML models into applications.
Build and optimize AI systems for production, using containerization (Docker, Kubernetes) and deploying via RESTful APIs, gRPC, or edge solutions.
Implement monitoring, logging, and error handling to ensure AI system performance and reliability.
Collaborate with data scientists, DevOps, and software engineers to bring AI capabilities to life.
Develop APIs and microservices for secure and performant AI integrations.
Maintain and optimize AI models in production, ensuring SLA compliance.
Create scalable AI pipelines for real-time and batch processing.
Apply MLOps best practices, including CI/CD for ML workflows on cloud and local environments.
Stay updated on the latest AI/ML frameworks, tools, and industry trends.
Identify and suggest improvements to AI API and plugin architectures.
Pre-Requisites
3+ years in AI/ML software development with proven deployment experience.
Strong skills in deploying AI models via APIs and edge/cloud solutions.
Proficiency in Python, Java, or C++, and frameworks like TensorFlow, PyTorch, Scikit-learn.
Experience with containerization (Docker, Kubernetes), cloud services (AWS, Azure, GCP), and Infrastructure as Code tools (Terraform).
Knowledge of database management (SQL, NoSQL, vector databases), distributed computing (Spark, Dask).
Willingness to learn new technologies and adapt in a fast-paced environment.
Excellent communication skills for cross-team collaboration.
Education & Experience
Bachelor’s or Master’s degree in computer science, AI, or related field.
Travel Requirements
Based in Singapore, with up to 1 travel trip per year.
Additional Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and IT
Industry: Computers and Electronics Manufacturing
#J-18808-Ljbffr

We are seeking a highly skilled AI software engineer to join our team. The ideal candidate will have expertise in applied AI and the ability to work on various layers of the stack.

The successful candidate will spend most of their time working on AI/ML, including decision-making engines, LLM prompt-/tool-design, retrieval pipelines, evaluation harnesses, agent orchestration, latency + cost tuning.

They will also dedicate 20% of their time to product/full-stack development, ensuring the impact of their core work reaches customers through React flows, Go APIs, observability dashboards, integrations with customer systems or other providers.

• Autonomy and ownership are essential for this role. The ideal candidate must be able to project manage their own work and thrive in a fast-paced environment.

• Experience with Twilio APIs, telephony, email delivery / SMTP systems, PostgreSQL, and SQL is desired but not required.

• Proficiency in TypeScript, React, Next.js, TailwindCSS, Go, and Pipelines is necessary for success in this position.

Unlock the Future of AI Research with Cynapse

Cynapse is a leading software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety operational efficiency and security in complex environments such as roads seaports airports and cities.

By combining advanced Vision AI with Generative AI we continually push the boundaries of video analytics delivering insights and automation that transform operations.

Our team fosters innovation collaboration and diverse perspectives. We serve clients worldwide redefining what's possible with video intelligence.

As part of our AI Product group you will implement practical solutions using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) methods and Computer Vision (CV) models to solve real-world challenges.

You will conduct rigorous experiments to validate model performance including data preparation evaluation and benchmarking ensuring reliability and accuracy.

Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

We are seeking a talented and highly motivated individual to join our dynamic and professionally challenging environment.

Minimum Qualifications:

• Bachelor's degree (completed or in progress) in Computer Science Engineering Mathematics or a related technical field.
• Familiarity with machine learning concepts including deep learning techniques.
• Strong programming skills with a solid understanding of databases.
• Excellent analytical problem-solving logical reasoning communication and teamwork skills.

Duration:

• Available for at least a 6-month internship.
• Able to work at least 4 days a week and preferably full-time.

Why Work with Us?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours.

We are seeking an AI Software Developer to design, develop/implement, and maintain scalable applications across backend, frontend, and database systems. The ideal candidate should have expertise in modern web/AI technologies and database management, with a strong foundation in PHP, Node.js, and Python for backend development, as well as Angular/React and Flutter for frontend.

• Backend Development: Build and maintain applications using PHP, Node.js (Express, NestJS), and Python to ensure efficient and scalable backend systems. Experience in low/no-code workflow design tools (eg: n8n) with integration with all kinds of API, LLM, RAG etc.

• Frontend Development: Develop responsive user interfaces using HTML, CSS, JavaScript (Angular, React), and Flutter for a seamless user experience.

• Database Management: Design, optimize, and manage MySQL, MSSQL, MongoDB, and PostgreSQL databases for performance and scalability.

• Code Quality & Best Practices: Write clean, maintainable, and efficient code, following industry standards and best practices.

• System Integration: Collaborate with cross-functional teams to integrate frontend, backend, and databases seamlessly.

• Debugging & Optimization: Identify and resolve software issues to enhance system reliability and performance.

· Understanding of containerization and orchestration (Docker, Kubernetes/AKS).

• Emerging Technologies & AI:

1. Experience in AI-related technologies implementation such as LLM (vLLM/Ollama), RAG (LangChain or any other equivalents), Vector Databases (data processing: chunking, embedding, vectorization, store/query on Milvus/Weaviate or any equivalents), Machine Learning (AutoML like datarobot/H2O), File Parsing (preprocess of RAG, including OCR, extracting metadata from image or video, Speech-to-text or text-to-speech and etc),

2. Model Fine-tuning, Jupyter Notebook, and Data Warehousing/Lake is a plus.

We are seeking an AI Software Developer to design, develop/implement, and maintain scalable applications across backend, frontend, and database systems. The ideal candidate should have expertise in modern web/AI technologies and database management, with a strong foundation in PHP, Node.js, and Python for backend development, as well as Angular/React and Flutter for frontend.
Key Responsibilities:
Backend Development: Build and maintain applications using PHP, Node.js (Express, NestJS), and Python to ensure efficient and scalable backend systems. Experience in low/no-code workflow design tools (eg: n8n) with integration with all kinds of API, LLM, RAG etc.
Frontend Development: Develop responsive user interfaces using HTML, CSS, JavaScript (Angular, React), and Flutter for a seamless user experience.
Database Management: Design, optimize, and manage MySQL, MSSQL, MongoDB, and PostgreSQL databases for performance and scalability.
Code Quality & Best Practices: Write clean, maintainable, and efficient code, following industry standards and best practices.
System Integration: Collaborate with cross-functional teams to integrate frontend, backend, and databases seamlessly.
Debugging & Optimization: Identify and resolve software issues to enhance system reliability and performance.
Understanding of containerization and orchestration (Docker, Kubernetes/AKS).
Emerging Technologies & AI:
Experience in AI-related technologies implementation such as LLM (vLLM/Ollama), RAG (LangChain or any other equivalents), Vector Databases (data processing: chunking, embedding, vectorization, store/query on Milvus/Weaviate or any equivalents), Machine Learning (AutoML like datarobot/H2O), File Parsing (preprocess of RAG, including OCR, extracting metadata from image or video, Speech-to-text or text-to-speech and etc)
Model Fine-tuning, Jupyter Notebook, and Data Warehousing/Lake is a plus.
#J-18808-Ljbffr

We are seeking an AI Software Developer to design, develop/implement, and maintain scalable applications across backend, frontend, and database systems. The ideal candidate should have expertise in modern web/AI technologies and database management, with a strong foundation in PHP, Node.js, and Python for backend development, as well as Angular/React and Flutter for frontend.

• Backend Development: Build and maintain applications using PHP, Node.js (Express, NestJS), and Python to ensure efficient and scalable backend systems. Experience in low/no-code workflow design tools (eg: n8n) with integration with all kinds of API, LLM, RAG etc.

• Frontend Development: Develop responsive user interfaces using HTML, CSS, JavaScript (Angular, React), and Flutter for a seamless user experience.

• Database Management: Design, optimize, and manage MySQL, MSSQL, MongoDB, and PostgreSQL databases for performance and scalability.

• Code Quality & Best Practices: Write clean, maintainable, and efficient code, following industry standards and best practices.

• System Integration: Collaborate with cross-functional teams to integrate frontend, backend, and databases seamlessly.

• Debugging & Optimization: Identify and resolve software issues to enhance system reliability and performance.

· Understanding of containerization and orchestration (Docker, Kubernetes/AKS).

• Emerging Technologies & AI:

1. Experience in AI-related technologies implementation such as LLM (vLLM/Ollama), RAG (LangChain or any other equivalents), Vector Databases (data processing: chunking, embedding, vectorization, store/query on Milvus/Weaviate or any equivalents), Machine Learning (AutoML like datarobot/H2O), File Parsing (preprocess of RAG, including OCR, extracting metadata from image or video, Speech-to-text or text-to-speech and etc),

2. Model Fine-tuning, Jupyter Notebook, and Data Warehousing/Lake is a plus.