669 Junior AI Engineer jobs in Singapore

AI Engineer
About Company
Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in Central India. Valuing over $50 million, with a presence in 5 countries and a highly Competent and Professional Team of 1000+ Professionals, who are consistently engaged in pioneering Application Development Projects and driving success for our clients.
Position
AI Engineer
Department
AI Engineer
Skills Required
Artificial Intelligence
Educational Qualification(s) Required
BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent
Overview of Job
Artificial intelligence engineers create and build methods and systems for artificial intelligence. AI engineers develop models with the ability to evaluate information, forecast outcomes, and carry out tasks automatically. AI Engineers advance software capabilities and contribute to creative solutions for a range of applications by developing machine learning technology.
Duties & Responsibilities
Design, develop, and implement AI/ML algorithms and models to solve business challenges.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
Develop data pipelines and preprocessing methods for model training and deployment.
Monitor, evaluate, and improve the performance of AI models and systems.
Conduct experiments to validate hypotheses and enhance AI system capabilities.
Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
Create technical documentation for AI models and workflows.
Required Skills & Qualifications
Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Proficiency in programming languages like Python, R, or Java.
Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
Strong understanding of data structures, algorithms, and statistics.
Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
Knowledge of MLOps tools and practices for model deployment and monitoring.
Ability to work with large datasets and build scalable AI solutions.
Strong problem-solving and critical-thinking skills.
Excellent communication and collaboration skills.
Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
Exposure to big data technologies (e.g., Hadoop, Spark).
Knowledge of model interpretability and explainability methods.
Onsite Work Location
Singapore
Working Model
Work from Office. You should be willing to work on-site at our locations in India and globally, including the USA, UK, Australia, and the Middle East.
On-site benefits apply.
Apply from Locations
Indore / Nagpur / Bhopal / Jabalpur / Nasik / Ujjain / Gwalior / Chhindwara / Kanpur / Patna / Bangalore / Chennai / Mumbai / Pune / Hyderabad / NCR / Ahmedabad
How to Apply Directly?
Visit URL and Apply directly online by filling our form.
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Responsibilities:

• Design, build, and deploy machine learning models to solve business challenges.
• Collaborate with teams to integrate models into production systems.
• Train, fine-tune, and optimize models for performance.
• Deploy models with APIs and ensure seamless integration.
• Monitor, refine, and improve model performance.
• Conduct data analysis and present insights.
• Stay updated with AI advancements and recommend improvements.

Requirements:

• Bachelor's/Master's in Computer Science, Data Science, or related field.
• 2+ years of experience in machine learning model development.
• Strong knowledge of ML algorithms and frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience with Large Language Models & Generative AI is a plus.

Technical Skills:

• Proficiency in Python and ML frameworks.
• Strong statistical and analytical skills.
• Familiarity with cloud ML tools (AWS, Azure, GCP) and distributed computing (Spark) is a plus.
• Strong problem-solving, communication, and teamwork skills.
• Continuous learner with a passion for AI advancements.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to for immediate processing.

(EA Reg No: 20C0312)

AI Engineer (0-3 years)

AsiaPac | A Keppel Company

About the Role

Are you passionate about Artificial Intelligence and eager to kickstart your career? At AsiaPac, we're not just building technology, we're shaping the future of how businesses run. As part of our AI team, you'll work on exciting projects that use data and intelligent systems to create real impact for clients across industries.

This is an entry to junior role, perfect for fresh graduates or early-career professionals who want to learn, grow, and be mentored by some of the best in the industry. You'll be exposed to real-world projects where your work directly contributes to solutions that matter.

What You'll Do

• Support the design and development of AI-driven solutions that solve business challenges.
• Collaborate with experienced engineers and business stakeholders to bring AI models into real-world use.
• Assist with data preparation, testing, and evaluating models, while learning hands-on.
• Stay curious about the latest AI tools, trends, and practices, and share your insights with the team.
• Promote ethical and responsible AI use in all projects.

What We're Looking For

• A degree in Computer Science, Artificial Intelligence, Data Science, or related fields (fresh grads are welcome).
• Some programming know-how: Python, R, or Java (experience with AI/ML frameworks like TensorFlow or PyTorch is a plus, but not a must).
• A curious mindset, problem-solving ability, and eagerness to learn new technologies.
• Good communication and teamwork skills, you'll be working closely with colleagues across projects.
• Most importantly: a growth mindset and willingness to learn by doing.

Why Join AsiaPac?

At AsiaPac (a Keppel Company), you're not just taking a job, you're joining a growing innovation hub where your ideas matter.

• Growth & Mentorship: Learn directly from industry experts and grow your skills with guidance and support.
• Impactful Projects: Work on AI initiatives that support real businesses and industries in Singapore and beyond.
• Global Exposure: Be part of a leading technology and services company within the Keppel Group ecosystem.
• Career Pathway: Start here, and open doors to roles in AI engineering, data science, and beyond.

Ready to Start Your AI Journey?

If you're excited about learning, experimenting, and building AI solutions that make a difference, we'd love to hear from you. Apply now and kickstart your career with AsiaPac

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.

Join our innovative IT Team – Shape the future of technology

Are you passionate about solving complex problems and driving digital transformation? We are seeking a versatile and skilled AI Engineer to design, develop, and integrate Generative AI solutions across our suite of applications. In this role, you will contribute to various projects, leveraging your backend engineering expertise to deliver tangible results. You will be responsible for building intelligent features, from chatbots to AI-powered content tools, by connecting our systems to large language models (LLM) and implementing sophisticated RAG architectures.

Key Responsibilities

• 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.

Qualifications & Skills

• 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: Node.js 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.

Overview:

We are seeking an AI Solutions Engineer to design and deliver cutting-edge AI/ML solutions for the maritime sector. Youll partner with clients to solve real business challenges, architect production-ready AI systems, and translate complex technology into clear business value.

Key Responsibilities:

• Identify client opportunities and translate business problems into AI/ML solutions
• Design end-to-end AI systems, from data assessment to production deployment
• Build functional prototypes and Proof-of-Concepts (POCs) with clean, scalable code
• Assess data readiness, recommend governance frameworks, and improve data quality
• Research latest AI trends (e.g., Generative AI, LLMs, Deep Learning) and apply insights
• Collaborate with internal teams to integrate prototypes into full-scale development
• Present AI strategies and ROI clearly to senior leaders and clients

Requirements:

• Bachelors in Computer Science, Data Science, Engineering, or related field (Masters/Ph.D. preferred)
• 4 years experience in AI/ML engineering or data science, preferably client-facing
• Strong expertise in Python, TensorFlow, PyTorch, and core ML libraries
• Hands-on experience with Generative AI, LLMs (e.g., LangChain), and MLOps practices
• Proficiency in GCP (Vertex AI, BigQuery, Cloud Functions), Docker, and Kubernetes concepts
• Knowledge of data governance, data quality frameworks, and distributed computing
• Track record of delivering AI solutions in production (publications or shipped products a plus)
• Experience in logistics, shipping, or supply chain is an advantage
• Excellent communication and stakeholder management skills

Please include the following information in your resume.

• Current & Expected Salary
• Reason(s) for leaving
• Notice Period / Availability to commence work

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret only short-listed candidates will be notified.

EA License | 18C9251 WGT Group

Registration No | R Ketty Lim

Key Responsibilities:

• Manage AI platform by setting up and maintaining development and production infrastructure for AI/ML workloads, ensuring reliability, scalability, and performance.
• Build robust data ingestion and transformation pipelines to support AI/ML model training and inference at scale.
• Collaborate with data scientists to convert AI/ML models into deployable, production-ready services following MLOps best practices.
• Integrate AI solutions with existing platforms and business systems through APIs, microservices, or other integration methods.
• Develop APIs or lightweight UIs to make AI capabilities accessible to business users and partners.
• Work closely with cross-functional teams to implement models and monitor outcomes.

Key Requirements:

• Proficiency in Python programming and Linux systems.
• Strong background in software engineering, data engineering, or AI infrastructure.
• Hands-on experience with cloud platforms (e.g., Azure) and containerization tools (Docker, Kubernetes).
• Familiarity with building RESTful APIs and/or lightweight front-end tools for AI interfaces.
• Solid understanding of MLOps practices and tools (e.g., MLflow, FastAPI).
• Excellent communication skills to collaborate across technical and business teams.
• Growth mindset with the drive to learn and master new technologies.

Nice to Have:

• Exposure to big data processing and streaming tools (e.g., Kafka, Spark).
• Knowledge of AI/ML frameworks such as TensorFlow or PyTorch.
• Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Jenkins).
• Familiarity with security, monitoring, and performance tuning of AI services.

Job Description: AI Engineer – Agentic AI & Automation

Company: Thout.ai

Location: Singapore

About Us

Thout.ai is building next-generation automation tools that generate value-based content and boost productivity across industries. We specialize in integrating frontend, backend, and AI systems into seamless products that empower enterprises and creators. With a strong commitment to AI safety and ethics, we are dedicated to responsible AI adoption that drives innovation while ensuring trust and compliance.

Role Overview

We are looking for an AI Engineer with hands-on expertise in Agentic AI systems, LLM-driven applications, Retrieval-Augmented Generation (RAG), and Generative AI (GenAI). The ideal candidate will have strong foundations in end-to-end AI pipeline deployment, a passion for AI safety and responsible AI practices, and the ability to work across both system architecture and product implementation.

This role offers the opportunity to co-create automation products that sit at the intersection of AI, productivity, and scalable design.

What You Will Do

• Agent Engineering: Design and build intelligent AI agents capable of decision-making, tool usage (APIs, code execution, databases), and multi-agent collaboration for task delegation and workflow automation.
• RAG & LLM Applications: Develop secure, enterprise-ready RAG pipelines for improving information retrieval, contextual accuracy, and scalability across content intelligence and automation use cases.
• Generative AI Development: Fine-tune transformers and integrate ControlNet, LORA, and diffusion-based models to deliver high-quality content generation across modalities.
• Product & Automation Integration: Work on both frontend (interactive user experiences) and backend (APIs, databases, pipelines) to ensure smooth product delivery.
• Knowledge Management Systems: Build context-aware knowledge agents that empower customer support, content creation, and enterprise workflows.
• AI Safety & Governance: Implement guardrails, ethical guidelines, and monitoring systems to ensure safe, reliable, and compliant AI deployments.
• Collaboration: Work with cross-functional teams on scalable deployment using cloud platforms (GCP, AWS, Azure) and workflow automation tools.

What We're Looking For

• Strong experience in Python, PyTorch, and AI frameworks such as LangChain, LangSmith, Hugging Face, and FastAPI.
• Demonstrated work on Agentic AI workflows, RAG pipelines, and GenAI solutions.
• Hands-on experience with cloud platforms (Google Cloud Platform, Vertex AI, BigQuery, Docker, Kubernetes, AWS, or Azure).
• Proficiency in vector databases, API integration, and scalable system design.
• Exposure to computer vision, NLP, and reinforcement learning is a plus.
• Strong understanding of AI safety, ethics, and responsible AI practices.
• Familiarity with workflow automation tools (e.g., Power Automate, UiPath) is desirable.
• Problem-solving mindset with the ability to translate research into production-ready solutions.

Why Join Us?

• Be part of a fast-growing company shaping the future of AI-powered productivity tools.
• Work on cutting-edge GenAI and Agentic AI systems with real-world impact.
• Opportunity to co-create open-source projects and contribute to the AI community.
• A culture that values innovation, collaboration, and responsible AI.

Location: Singapore

Employment Type: Full-time

About IM30

IM30 is a global gaming company on a mission to make time more interesting. Founded in 2015 by a group of passionate gamers, we've grown into an international team behind popular strategy titles like Last Shelter: Survival and Rise of Empires .

As we continue to expand globally, Singapore is becoming our new international headquarters. At IM30, we value action over talk, openness over hierarchy, and speed over perfection.

Role Overview

We're looking for a versatile AI & Digital Transformation Engineer who can bridge engineering and operations—building frameworks, automating workflows, and leveraging AI to optimize how every team works.

You'll work closely with various functional departments to translate business operations into measurable, data-rich, and partially automated systems.

Key Responsibilities

• AI Integration & Engineering
  • Integrate AI technologies (LLMs, text classification, GPT-based automation agents, computer vision, etc.) into internal workflows.
  • Develop AI-powered prototypes and proof-of-concepts, validate business value, and work with engineering to scale successful pilots.
  • Operationalize model APIs and optimize their performance for production usage.
• System Architecture & DevOps
  • Build and maintain robust, scalable backend systems using Python (FastAPI, Flask) or Node.js.
  • Design microservices and APIs that connect internal systems (e.g., CRM, localization platforms, analytics).
  • Deploy and maintain applications using Docker/Kubernetes, ensuring reliability and scalability across global teams.
• Data & Workflow Automation
  • Develop lightweight backend services or web tools that automate manual reporting, task tracking and content processing.
  • Design event-driven systems and feedback loops that turn operational data into actionable insights.

Qualifications & Requirements

• Experience: 3+ years experience in software engineering, data engineering, or automation-focused roles. Strong scripting and backend development skills in Python and JavaScript/TypeScript.
• Applied AI: experience integrating AI/ML models or API-based AI service (e.g. OpenAI, Gemini) into application or tools. Hands-on experience with AIGC, RAG pipelines, or agentic AI systems.
• Data competency: familiar with SQL/NoSQL database and basic data modeling
• Communication: Strong cross-functional collaboration skills; can work across business and tech teams.
• Language: English required, Mandarin a plus (for internal communication with Chinese-speaking teams).
• Bonus/good-to-have:
  • Experience in game industry or interest in game workflows.
  • Familiarity with AI-powered localization, content creation platform or chat-bot systems.
  • Understanding of cloud infrastructure (AWS, GCP) and CI/CD pipelines.