576 Gen AI jobs in Singapore

Position Overview: We are seeking a skilled AI Engineer with a strong background in Large Language Models (LLMs) and Generative AI (GenAI). This role focuses on creating intelligent agents, copilots, and advanced workflows powered by state-of-the-art LLMs, while also pushing forward the boundaries of generative model development, optimization, and integration.

· Agentic AI Applications: Architect, build, and deploy agent-based systems (chatbots, copilots, multi-agent frameworks) leveraging large language models and tool orchestration frameworks.

· Generative AI Model Engineering: Design and optimize generative AI solutions using models like GPT, Claude, Gemini, and LLaMA; contribute to model innovation (GANs, VAEs, transformers).

· RAG & Workflow Design: Implement Retrieval-Augmented Generation (RAG) pipelines, reasoning chains, and multi-step workflows for robust enterprise AI systems.

• Prompt Strategy & Evaluation: Develop, refine, and evaluate prompt engineering techniques to enhance model performance and consistency.
• LLMOps & MLOps: Lead the full lifecycle of AI models, from data preprocessing and model fine-tuning to monitoring, evaluation, and deployment with MLOps/LLMOps best practices.
• Cross-Functional Collaboration: Partner with engineering, product, and design teams to translate business goals into scalable AI solutions.
• Research & Innovation: Stay ahead of GenAI and Agentic AI advances, proactively experimenting with new techniques and frameworks.
• Documentation & Knowledge Sharing: Produce comprehensive documentation and mentor team members in best practices.

Overview
Position Overview: As a Generative AI Engineer, you will lead the research, design, and implementation of state-of-the-art generative models for image and video applications. Leveraging your expertise in deep learning and generative AI, you will drive innovation and contribute to the enhancement of our image and video applications.
Responsibilities
Lead the development of image/video processing algorithms for single/multiple camera-related applications, such as mobile, surveillance, and vehicle systems.
Drive the design and implementation of computer vision and deep learning technologies, proposing innovative ideas to enhance algorithm performance and efficiency.
Collaborate with cross-functional teams to define requirements and objectives for algorithm development, ensuring alignment with project goals and customer needs.
Mentor junior team members, providing guidance and expertise in algorithm development, computer vision, and deep learning technologies.
Conduct research and experimentation to explore new approaches and techniques in AI and computer vision, applying findings to enhance algorithm capabilities.
Lead the evaluation and optimization of algorithms to ensure robust performance across diverse environments and conditions.
Provide technical leadership in the integration of algorithms into software systems and platforms, collaborating with software engineers to achieve seamless integration and functionality.
Stay updated on the latest research trends and advancements in AI, computer vision, and deep learning, driving knowledge sharing and innovation within the team and organization.
Present algorithm development processes, results, and findings to stakeholders, contributing to effective communication and decision-making.
Qualifications/Requirements
Master's or Ph.D. in Computer Science, Electrical Engineering, or related fields, with a minimum of 3 years of extensive experience and expertise in deep learning principles, and practical implementation of neural networks for image and video processing.
Proficiency in programming languages such as Python, C++, or similar, with at least 3 years of hands-on experience in deep learning frameworks like PyTorch or similar.
Proven track record of leading and executing projects involving training and fine-tuning of generative models, particularly GANs, VAEs, and related architectures, with a comprehensive portfolio and a minimum of 3 years of relevant experience.
Strong mathematical foundation in linear algebra, calculus, probability theory, and optimization, applied to AI algorithm design and analysis, including techniques such as stable diffusion and ControlNet training, with at least 3 years of experience.
Experience with advanced techniques such as LLM prompt engineering and LLM fine-tuning techniques like LoRA for language-guided image and video generation, with a minimum of 3 years of experience.
Seniority level
Associate
Employment type
Full-time
Job function
Research and Engineering
Industries
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Position Overview: We are seeking a skilled AI Engineer with a strong background in Large Language Models (LLMs) and Generative AI (GenAI). This role focuses on creating intelligent agents, copilots, and advanced workflows powered by state-of-the-art LLMs, while also pushing forward the boundaries of generative model development, optimization, and integration.

· Agentic AI Applications: Architect, build, and deploy agent-based systems (chatbots, copilots, multi-agent frameworks) leveraging large language models and tool orchestration frameworks.

· Generative AI Model Engineering: Design and optimize generative AI solutions using models like GPT, Claude, Gemini, and LLaMA; contribute to model innovation (GANs, VAEs, transformers).

· RAG & Workflow Design: Implement Retrieval-Augmented Generation (RAG) pipelines, reasoning chains, and multi-step workflows for robust enterprise AI systems.

• Prompt Strategy & Evaluation: Develop, refine, and evaluate prompt engineering techniques to enhance model performance and consistency.
• LLMOps & MLOps: Lead the full lifecycle of AI models, from data preprocessing and model fine-tuning to monitoring, evaluation, and deployment with MLOps/LLMOps best practices.
• Cross-Functional Collaboration: Partner with engineering, product, and design teams to translate business goals into scalable AI solutions.
• Research & Innovation: Stay ahead of GenAI and Agentic AI advances, proactively experimenting with new techniques and frameworks.
• Documentation & Knowledge Sharing: Produce comprehensive documentation and mentor team members in best practices.

• Permanent role
• Work location: CBD area

• Partner with customers and prospects to understand business challenges and design GenAI-powered solutions that deliver measurable outcomes.
• Deliver high-impact technical demos, workshops, and POCs tailored to customer use cases (e.g., chatbots, RAG, embeddings, GenAI voice, and AI agents).
• Translate business goals into scalable GenAI architectures using technologies like OpenAI, Bedrock, Azure OpenAI, LangFlow, LangChain, or Google AI .
• Collaborate closely with sales, product, and engineering teams to drive deal success and ensure technical feasibility.
• Provide expert guidance on model selection, fine-tuning, integration, performance optimization, and cost management .
• Stay current with emerging GenAI trends, tools, and frameworks to maintain technical leadership.
• Develop and maintain technical collateral, playbooks, and reusable assets to streamline and scale presales engagements.

• 5–10 years of experience in presales, solution engineering, or AI consulting roles.
• Strong understanding of Generative AI concepts — LLMs, prompt engineering, embeddings, vector databases, RAG, and multimodal models.
• Hands-on experience with OpenAI, AWS Bedrock, Azure OpenAI, Google AI , or similar platforms.
• Proficiency in Python, APIs, and cloud-native architectures (e.g., RESTful integrations, containerized deployments).
• Ability to communicate complex AI concepts to both technical and non-technical audiences.
• Proven track record supporting enterprise sales cycles or POCs across B2B, Cloud, SaaS, or on-prem environments.

May Anne Ramos

Senior Consultant | R

Revup Proservices Pte Ltd | EA.24C2366

• Permanent role
• Work location: CBD area

• Partner with customers and prospects to understand business challenges and design GenAI-powered solutions that deliver measurable outcomes.
• Deliver high-impact technical demos, workshops, and POCs tailored to customer use cases (e.g., chatbots, RAG, embeddings, GenAI voice, and AI agents).
• Translate business goals into scalable GenAI architectures using technologies like OpenAI, Bedrock, Azure OpenAI, LangFlow, LangChain, or Google AI.
• Collaborate closely with sales, product, and engineering teams to drive deal success and ensure technical feasibility.
• Provide expert guidance on model selection, fine-tuning, integration, performance optimization, and cost management.
• Stay current with emerging GenAI trends, tools, and frameworks to maintain technical leadership.
• Develop and maintain technical collateral, playbooks, and reusable assets to streamline and scale presales engagements.

• 5–10 years of experience in presales, solution engineering, or AI consulting roles.
• Strong understanding of Generative AI concepts — LLMs, prompt engineering, embeddings, vector databases, RAG, and multimodal models.
• Hands-on experience with OpenAI, AWS Bedrock, Azure OpenAI, Google AI, or similar platforms.
• Proficiency in Python, APIs, and cloud-native architectures (e.g., RESTful integrations, containerized deployments).
• Ability to communicate complex AI concepts to both technical and non-technical audiences.
• Proven track record supporting enterprise sales cycles or POCs across B2B, Cloud, SaaS, or on-prem environments.

May Anne Ramos

Senior Consultant | R

Revup Proservices Pte Ltd | EA.24C2366

We are seeking a seasoned developer to create advanced Large Language Models (LLMs) and Generative AI (GenAI) systems.

• Design, build, and deploy large-scale agent-based systems using cutting-edge LLMs and tool orchestration frameworks.
• Optimize generative AI solutions leveraging models like GPT, Claude, Gemini, and LLaMA for maximum performance.
• Implement robust Retrieval-Augmented Generation (RAG) pipelines, reasoning chains, and multi-step workflows for complex enterprise AI systems.

• Develop, refine, and evaluate prompt engineering techniques to enhance model accuracy and consistency.

• Collaborate with engineering, product, and design teams to translate business goals into scalable AI solutions.

• TensorFlow
• Machine Learning
• Pipelines
• PyTorch
• Python
• Keras

Gen AI Presales Consultant
Permanent role
Work location: CBD area
The Opportunity
Partner with customers and prospects to understand business challenges and design
GenAI-powered solutions
that deliver measurable outcomes.
Deliver
high-impact technical demos, workshops, and POCs
tailored to customer use cases (e.g., chatbots, RAG, embeddings, GenAI voice, and AI agents).
Translate business goals into
scalable GenAI architectures
using technologies like
OpenAI, Bedrock, Azure OpenAI, LangFlow, LangChain, or Google AI .
Collaborate closely with
sales, product, and engineering teams
to drive deal success and ensure technical feasibility.
Provide expert guidance on
model selection, fine-tuning, integration, performance optimization, and cost management .
Stay current with
emerging GenAI trends, tools, and frameworks
to maintain technical leadership.
Develop and maintain
technical collateral, playbooks, and reusable assets
to streamline and scale presales engagements.
Your Background
5–10 years of experience in
presales, solution engineering, or AI consulting
roles.
Strong understanding of
Generative AI concepts
— LLMs, prompt engineering, embeddings, vector databases, RAG, and multimodal models.
Hands-on experience with
OpenAI, AWS Bedrock, Azure OpenAI, Google AI , or similar platforms.
Proficiency in
Python, APIs, and cloud-native architectures
(e.g., RESTful integrations, containerized deployments).
Ability to communicate
complex AI concepts
to both technical and non-technical audiences.
Proven track record supporting
enterprise sales cycles or POCs
across B2B, Cloud, SaaS, or on-prem environments.
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Join to apply for the
Gen AI Frontend Engineer
role at
Epergne Solutions .
Job Responsibilities :
Review the requirements for UX/UI for the GenAI platform.
Design suitable UX/UI to meet client requirements, including:
Document the requirements, solutions, and design specs for the UX/UI as per client documentation standards.
Gather and document integration points from the Front End UX/UI to the Back End systems for GenAI.
Ensure functionalities are scalable, robust, and include exception management and handling.
Build and integrate UX/UI Front End with the Client's GenAI Back End.
Conduct unit testing to ensure robust integration and exception handling.
Review and document UX/UI requirements for GenAI Front End.
Design UX/UI interfaces that will integrate with GenAI Back End.
Build and integrate UX/UI with Back End systems.
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr

• Permanent role
• Work location: CBD area

• Partner with customers and prospects to understand business challenges and design GenAI-powered solutions that deliver measurable outcomes.
• Deliver high-impact technical demos, workshops, and POCs tailored to customer use cases (e.g., chatbots, RAG, embeddings, GenAI voice, and AI agents).
• Translate business goals into scalable GenAI architectures using technologies like OpenAI, Bedrock, Azure OpenAI, LangFlow, LangChain, or Google AI .
• Collaborate closely with sales, product, and engineering teams to drive deal success and ensure technical feasibility.
• Provide expert guidance on model selection, fine-tuning, integration, performance optimization, and cost management .
• Stay current with emerging GenAI trends, tools, and frameworks to maintain technical leadership.
• Develop and maintain technical collateral, playbooks, and reusable assets to streamline and scale presales engagements.

• 5–10 years of experience in presales, solution engineering, or AI consulting roles.
• Strong understanding of Generative AI concepts — LLMs, prompt engineering, embeddings, vector databases, RAG, and multimodal models.
• Hands-on experience with OpenAI, AWS Bedrock, Azure OpenAI, Google AI , or similar platforms.
• Proficiency in Python, APIs, and cloud-native architectures (e.g., RESTful integrations, containerized deployments).
• Ability to communicate complex AI concepts to both technical and non-technical audiences.
• Proven track record supporting enterprise sales cycles or POCs across B2B, Cloud, SaaS, or on-prem environments.

May Anne Ramos

Senior Consultant | R

Revup Proservices Pte Ltd | EA.24C2366