1,156 AI Engineer jobs in Singapore

Responsibilities
Project Planning: Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.
Stakeholder Engagement: Collaborate with stakeholders to understand business needs, operational challenges, and opportunities for leveraging data science to drive value.
Data Acquisition and Preparation: Work with data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and modeling.
Data Analysis and Modeling: Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.
Model Deployment: Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems. Deploy standards defined and contribute to their improvements.
Performance Monitoring: Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time with business value generated.
Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, engineers, IT specialists, and business analysts, to ensure alignment and synergy in project execution.
Risk Management: Identify and mitigate potential risks and challenges associated with data science projects, such as data quality issues, algorithmic bias, and model interpretability.
Quality Assurance: Implement quality control measures and validation procedures to ensure the accuracy, robustness, and reliability of data science solutions.
Documentation and Reporting: Maintain detailed documentation of project activities, methodologies, findings, and outcomes, and provide regular progress updates and reports to stakeholders.
Business Value Delivery: Define, measure and keep track of business value deliverables linked to the project ROI
Technical Leadership: Drive the design, development, and optimization of scalable data pipelines, APIs, and data platforms to support advanced analytics, AI, and business intelligence use cases.
Dashboard & Visualization Solutions: Lead the development of enterprise-grade dashboards using Flask (or equivalent frameworks), ensuring usability, performance, and integration with data science models.
Data for Digital Twin & Simulation: Architect and oversee the creation of data inputs for digital twin environments, enabling predictive simulations and real-time monitoring by integrating structured/unstructured inputs (JSON, XML, APIs).
AI & Chatbot Integration: Design and implement intelligent assistant solutions, leveraging Retrieval-Augmented Generation (RAG) and related AI techniques to enhance knowledge discovery and automation.
Data Strategy & Standards: Define best practices for data engineering, quality assurance, monitoring, and governance, ensuring compliance with enterprise and security standards.
Collaboration & Mentorship: Work closely with cross-functional teams (data scientists, software engineers, product owners) while mentoring junior engineers to raise the team’s technical capability.
Requirements
Bachelor's degree in computer science, data science, industrial engineering, or a related field.
Proven experience in project management, specifically in leading data science or analytics projects in industrial settings.
Experiences on requirement gathering, scoping, data mapping and data driven improvement, digital transformation projects to deliver business objectives are plus
Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.
Experience with industrial data sources, such as sensor data, time-series data, SCADA systems, and IoT devices.
Excellent leadership, communication, and stakeholder management skills, with the ability to engage and influence both internal and external stakeholders at all levels of the organization.
Knowledge of industrial processes, manufacturing operations, and relevant industry standards and regulations.
Familiarity with data governance, privacy, and security best practices in industrial environments.
Experience with process optimization, continuous improvement, and lean manufacturing principles is a plus
Proven track record of dashboarding and visualization (e.g., PowerBI, Flask, Plotly/Dash, or integration with BI tools) for decision-making support.
Experience with digital twin simulation and real-time data integration, including structured/unstructured formats (JSON, XML) and APIs.
Exposure to AI-driven solutions, especially chatbot development and Retrieval-Augmented Generation (RAG).
Excellent communication and stakeholder management skills, with the ability to present complex technical concepts to non-technical audiences.
Other Information
Work Location: Changi North Rise
Working Days: Monday - Friday
Company transport provided from designated MRT stations.
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Company Summary :

ELGO AI is a fast-growing startup redefining how enterprises build and deploy AI. We offer a powerful no-code enterprise-grade GenAI platform that enables organizations to create custom LLM-powered applications such as chatbots, smart document workflows, and automation agents 10x faster than traditional methods. Abstracting away the complexities of a production GenAI system, we aim to simplify enterprise AI adoption by making advanced GenAI capabilities accessible to non-technical teams. We are passionate about workflow orchestration, context-aware agents, full transparency and observability layer, scalable designs and enterprise-grade deployment, all grounded in responsible, secure, and user-centric design. Our vision is to become the go-to operating platform for practical AI solutions in Asia Pacific.

Job Description:

As an AI Engineer, you'll play a key role in the development and optimization of ELGO's no-code platform and LLM-based workflows. Instead of model training or fine-tuning, your focus will be on building reusable, configurable, and scalable LLM-powered components and highly optimized task agents that can be orchestrated by users without writing code. We also constantly push the frontiers on LLM techniques and designs to ensure that our agents are state-of-the-art.

You'll work closely with our CTO and engineering team to implement advanced LLM workflows, multi-agent logic, evaluation mechanisms, and performance monitoring that power real-world business applications.

The ideal person for the role would love the fast-changing and dynamic environment, working with new technologies and translating that into real world impact. He/she would also enjoy the opportunity to work on multiple real-world LLM systems, and constantly push him/herself to be better. He/she is would also be extremely proactive, both in working and learning.

Caution: this is likely going to be the toughest role ever you would have in your life, but it could also be the most rewarding.

Roles & Responsibilities:

• Develop and optimize backend systems for LLM workflow orchestration (retrieval, chaining, evaluation, memory, task-based agent optimizations).

• Implement reusable components (e.g., retrieval nodes, validation agents, evaluators) to power the no-code platform.

• Integrate and manage third-party models (e.g., OpenAI, Anthropic, AWS Bedrock, open-source models).

• Develop and maintain multi-agent and tool-augmented AI workflows for common enterprise use cases.

• Work on document processing, cross-system integrations, RAG pipelines, contextual memory management, and prompt engineering best practices.

• Research and development new techniques to tackle the toughest problems in LLM applications.

• Collaborate with front-end and platform engineers to support the no-code interface.

• Conduct systematic evaluations and performance tracking of LLM applications in production.

• Stay updated with emerging GenAI and agentic framework trends.

Requirements:

Core Requirements

• Bachelor's degree in Computer Science, AI/ML Engineering, or equivalent experience with about 2-4 years relevant working experience. Candidates without formal education but with strong practical experience are welcomed.

• Strong Python programming skills with experience in).

• Experience in building production-grade RAG applications and integrating with APIs.

• Familiarity with databases (e.g., PostgreSQL, MongoDB, Redis).

• Foundational programming knowledge (Git, Docker, OOP, FastAPI).

• Understanding of LLM architecture and practical applications.

Key Traits

• Strong problem-solving and systems thinking.

• Bias for action and comfort working in a fast-paced startup environment.

• Clear communication and collaborative mindset.

• Curiosity and openness to new ideas and technologies.

• Willingness to contribute beyond code – including product feedback, customer empathy, and roadmap planning.

Optional Requirements

• Familiarity with vector databases (e.g., Qdrant, Weaviate, Pinecone etc.).

• Experience building agentic workflows or using any frameworks like LangChain, Langgraph, CrewAI, AutoGen, Vercel SDK, OpenAI Agents SDK etc.

• Good understanding about transformers, LLMs, multi-agent systems, tool uses/function calling.

• Prior work with evaluation frameworks for LLM performance and safety.

What We Offer:

• A front-row seat to building the next generation of enterprise GenAI tooling and real-world applications.

• The opportunity to be part of a small but elite team of Asia's most promising GenAI startups.

• Exposure to real-world challenges and impactful deployments.

• A supportive and transparent team environment that values outcomes over hours. No politics, full focus on solving real problems.

• Growth opportunities across product, engineering, AI and R&D.

The Interview Process:

• There will be a total of 3 rounds of interview:

o 1st round: 30 minutes of general Q&A with the CEO

o 2nd round: 60 minutes technical session, where you will be given a real problem and is required to code out the solution within 30 minutes. Technical Q&A for the remaining time.

o 3rd round: 15 minutes for work arrangements and compensation package discussions.

ourteam is Southeast Asia's AI-powered hiring platform, helping companies hire faster, smarter, and without bias. We are looking for an
AI Engineer
to drive the development of our core AI capabilities.

This role will focus on building and scaling AI features that power next-generation hiring experiences. You will work closely with product and engineering teams to deliver production-ready AI that meets enterprise-grade standards for performance, reliability, and user experience.

Requirements

• Strong expertise in applied AI (NLP, LLMs, or Speech Processing)
• Proficiency in Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, etc)
• Experience deploying AI systems into production (preferably cloud environments)
• Ability to optimize models and systems for scale, latency, and reliability
• Strong problem-solving skills and ownership mindset

Benefits

• Opportunity to define and scale the AI backbone of an AI-first company
• Direct collaboration with founder and leadership team
• Work on applied AI that has immediate impact

AI Engineer

Location: Singapore (Hybrid) 

Work Schedule: Monday to Friday, 9:30am – 5:30pm SGT (Overtime may be required) 

Employment Type: Full-time 

Salary Range: SGD 4,500–5,000/month

About the Role

BLACKFROST is seeking a highly skilled and passionate AI Engineer to join our fast-growing, innovation-driven team. In this role, you'll design, develop, and deploy cutting-edge AI/ML solutions that directly impact our products and services.

You'll work on challenging, real-world problems — transforming complex data into intelligent systems and actionable insights that drive measurable business outcomes.

Note: BLACKFROST is an early-stage startup. While we're not publicly listed online yet, we're actively building our presence and our core team. If you're excited by zero-to-one opportunities and want to be part of something from the ground up, we'd love to hear from you.

What You'll Do

• Design and implement machine learning models for real-world applications

• Deploy and optimize models into production with scalability in mind

• Build and maintain ML pipelines, including data preprocessing, model training, evaluation, and deployment

• Work closely with software engineers to integrate AI modules into applications

• Implement monitoring & retraining systems to ensure model reliability over time

• Explore and apply state-of-the-art approaches in natural language processing (NLP) and generative AI

What You'll Bring

Minimum Requirements:

• Bachelor's or Master's degree in Computer Science (required)

• Strong knowledge of machine learning algorithms, deep learning frameworks (TensorFlow / PyTorch), and model deployment practices

• Solid programming skills in any modern programming language

• Familiarity with software engineering best practices (Git, testing, CI/CD)

Preferred Qualifications:

• Experience deploying ML models to cloud platforms (AWS, GCP, or Azure)

• Familiarity with MLOps tools (MLflow, Airflow, Docker, Kubernetes, etc.)

• Prior experience with large language models (LLMs) and NLP

• Contributions to open-source projects or relevant research publications

Availability:

• Able to start immediately or within short notice

Why Join Us?

• Work on meaningful AI engineering projects with real-world impact

• Be part of a collaborative, forward-thinking hybrid team

• Upskill through exposure to emerging AI technologies

• Hybrid work model

About BLACKFROST

At BLACKFROST, we help organizations accelerate AI transformation — from strategy to system integration. We blend deep technical expertise with domain insight to build intelligent, scalable systems that create lasting impact. Join us to shape the next generation of AI-powered innovation.

We're a startup headquartered in Singapore, actively building out our foundation. If you thrive in fast-moving, builder-style environments and want to shape something meaningful from Day 1, this is your chance.

• Microsoft Azure certification(s) such as DP-203, AI Engineer Associate, or Azure Solutions Architect.

• Experience with large-scale AI implementations in enterprise environments.

• Exposure to vector databases and LLM integration for AI-powered search and analytics.

• Design, build, and optimize data pipelines and workflows to support AI and analytics initiatives.

• Work hands-on with Copilot Studio for AI-driven application development and automation.

• Implement AI Foundry solutions on Microsoft Azure, ensuring scalable, secure, and cost-effective architecture.

• Develop and deploy 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.

• Hands-on expertise in Microsoft Azure services (Data Factory, Databricks, Synapse, Cognitive Services, AI Foundry, etc.).

• Practical implementation experience with Copilot Studio.

• Proven experience in RAGs (design, creation, and deployment).

• Strong programming/scripting knowledge (Python, SQL, PySpark, etc.).

• Experience with ETL/ELT, data warehousing, and API integrations.

• Good understanding of MLOps and AI deployment frameworks.

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

Job Description – AI Engineer

Location: Singapore

Employment Type: Full-time

Department: Technology / Engineering

About Toffs Technologies

Toffs Technologies is a trusted leader in cybersecurity, AI, and cloud solutions , helping enterprises build resilience against evolving digital threats. With a strong presence across Asia, we deliver next-generation services such as DDoS protection, WAF, CDN, and advanced AI-driven solutions that empower businesses to operate securely in a connected world.

About the Role

We are seeking a forward-thinking AI Engineer to join our team and develop innovative AI-driven solutions that strengthen cybersecurity and enhance digital resilience. You will collaborate with data scientists, software engineers, and cybersecurity experts to design and deploy scalable AI systems for threat detection, network optimization, and enterprise security solutions.

Key Responsibilities

• Design, develop, and deploy AI/ML models tailored for cybersecurity use cases (e.g., anomaly detection, threat intelligence, fraud detection, predictive analytics).
• Build scalable data pipelines and automate ML workflows for real-time security monitoring.
• Collaborate with cybersecurity teams to integrate AI solutions into TOFFS' products and services (e.g., DDoS mitigation, WAF, cloud security).
• Perform large-scale data preprocessing, feature engineering, and continuous model evaluation.
• Research and implement cutting-edge AI techniques in natural language processing (NLP), generative AI, and network traffic analysis .
• Develop APIs and tools to integrate AI functionalities into enterprise client platforms.
• Stay updated with emerging AI/ML and cybersecurity trends to drive innovation.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
• Solid understanding of machine learning, deep learning, and anomaly detection methods .
• Experience with data engineering tools (Pandas, NumPy, Spark, SQL) and cloud platforms (AWS, GCP, Azure).
• Familiarity with cybersecurity concepts, network protocols, and security analytics .
• Strong problem-solving and analytical skills with the ability to handle complex datasets.

Preferred Qualifications

• Hands-on experience with AI for cybersecurity applications (malware detection, intrusion detection, phishing detection).
• Knowledge of MLOps practices (CI/CD for ML, Docker, Kubernetes, MLflow).
• Exposure to big data platforms and real-time data processing.

AI Engineer

Location:Singapore

Job Type:Full time

Experience:From 0 yrs

Areas of Study:

Language:English

Education Level:Bachelor

As an AI Engineer Intern, you'll be part of a dynamic team focused on developing, refining, and

deploying AI solutions that optimize our HR processes. You'll bridge the gap between AI

research and application, translating innovative concepts into tangible, impactful features.

• Collaborate with cross-functional teams to design, develop, and implement AI features,

focusing on areas like natural language processing, data analysis, and predictive

modeling.

• Work with customers to understand their needs and translate them into AI solutions.
• Conduct research and rapid prototyping of new AI algorithms and techniques,

particularly those involving LLMs to address specific client requirements.

• Write clean, well-tested, and well-documented code, contributing to a high-quality

codebase.

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software

Engineering, Artificial Intelligence or a related field.

• Able to commit to a 6 months internship duration.
• You are a team player that enjoys collaborating and communicating with diverse groups.
• You enjoy tackling large challenges and enjoy discovering problems as much as solving

them.

• You are able to problem solve and adapt to changing priorities in a fast-paced dynamic

environment.

• You have built or prototyped features with AI technologies (LLMs, Embeddings, Fine-Tuning).
• You have experience in agentic frameworks (e.g., LangChain, LlamaIndex) for building

LLM-powered applications.

• You have strong technical skills in Python.
• You are adept at optimizing, refactoring, and improving Python code, ensuring our

systems are efficient, scalable, and maintainable

• You have hands-on experience with cloud platforms (GCP).
• You have a strong interest in reinforcement learning.
• You have experience working with audio and video data.

Note

• We regret to inform you that our company does not have a work quota for foreign

applicants.

We are hiring AI Engineer with below requirements;

Key Responsibilities

• Microsoft Azure certification(s) such as DP-203, AI Engineer Associate, or Azure Solutions Architect.
• Experience with large-scale AI implementations in enterprise environments.
• Exposure to vector databases and LLM integration for AI-powered search and analytics.
• Design, build, and optimize data pipelines and workflows to support AI and analytics initiatives.
• Work hands-on with Copilot Studio for AI-driven application development and automation.
• Implement AI Foundry solutions on Microsoft Azure, ensuring scalable, secure, and cost-effective architecture.
• Develop and deploy 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.
• Hands-on expertise in Microsoft Azure services (Data Factory, Databricks, Synapse, Cognitive Services, AI Foundry, etc.).
• Practical implementation experience with Copilot Studio.
• Proven experience in RAGs (design, creation, and deployment).
• Strong programming/scripting knowledge (Python, SQL, PySpark, etc.).
• Experience with ETL/ELT, data warehousing, and API integrations.
• Good understanding of MLOps and AI deployment frameworks.
• Strong problem-solving skills, ability to work in fast-paced environments, and excellent communication skills.

Job Requirements:

· Degree in Information Technology or equivalent.

· Must have Minimum years of experience in AI design patterns and implementation.

· Must have Experience in data processing for AI microservices, data flow and

integration.

· Experience in machine learning algorithms, statistical methods, and generative

AI models

· Experience in microservice frameworks and modern software development practices

· Experience in Azure services - Azure Machine Learning, Azure OpenAI Service, and Azure Kubernetes Service

· Strong understanding of big data technologies, including Spark (pyspark), Kafka, and Hadoop.

· Experience working in agile environment

· Excellent verbal and written communication skills