732 Gen AI jobs in Singapore

We're looking for a hands-on GenAI Developer to design and productionize intelligent agentic systems powered by LLMs, computer vision, and vector databases. You'll build autonomous agents that reason, retrieve, and act - driving real-world GenAI applications from prototype to production.

This is a true builder role for someone who enjoys taking ideas from notebooks to live users. You'll work closely with Software and AI Engineers to integrate workflows into production and shape how our agents interact with tools, memory, data, and humans.

●    Design and improve LLM-powered agents for task planning, execution, retrieval, and memory.

●    Build modular agent stacks using frameworks like LangChain, CrewAI, AutoGen, or custom orchestrators.

●    Develop workflows that connect agents to APIs, computer vision models, and vector databases.

●    Lead prompt engineering, RAG pipelines, and multi-agent coordination strategies.

●    Collaborate with engineers to productionize agents with proper observability and debuggability.

●    Evaluate agent behavior through logging, telemetry, and custom evaluation tools.

●    Contribute to architecture patterns such as task workflows, tool interfaces, memory optimization, and feedback handling.

●    Work with infrastructure teams to deploy agentic systems to production, ensuring monitoring, scaling, and rollback safety.

●    Ensure compliance with Model Context Protocol (MCP) standards for structured context and execution.

● years in software/AI development, including 2+ years building LLM-driven applications.

●    Strong Python skills with experience in reusable agent stacks or RAG pipelines.

●    Hands-on with LLM APIs (OpenAI, Anthropic, HuggingFace, etc.) and building prompt/tool workflows.

●    Experience integrating vector databases (Weaviate, FAISS, pgvector, Pinecone).

●    Familiarity with multi-agent orchestration (CrewAI, AutoGen, LangGraph, or custom).

●    Experience shipping AI tools or services into production with containerization and cloud platforms (Docker, Kubernetes, GCP/AWS).

●    Understanding of agent design (memory management, context management, tool contracts).

●    Knowledge of Model Context Protocol (MCP) or similar standards.

●    Experience with agent evaluation, prompt testing, and reducing hallucinations/latency.

●    Exposure to hybrid workflows combining LLMs with computer vision.

●    Knowledge of event-driven or streaming agents (Kafka, LCEL, reactive frameworks).

●    Experience building simple interfaces with Streamlit, Gradio, or browser automation.

●    Familiarity with fine-tuning techniques (LoRA/QLoRA) or multi-modal agent training.

●    Small, agile team (5–6 engineers + interns) with autonomy and real ownership.

●    Startup feel with a big company resources:

○    International environment where the majority of the team and leadership is from startups or big international corporations and from various countries.

○    Low-bureaucracy, high-impact startup environment where your code directly supports next-gen AI deployment.

○    Experimentation and self-development are in our culture

○    Knowledge sharing and collaboration

●    Direct collaboration with top AI researchers and computer vision scientists.

●    Hybrid work setup: ~2–3 days in office per week.

• 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.

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.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Job Summary:
A
Generative AI Architect
is a senior-level expert responsible for designing, developing, and overseeing the implementation of generative AI systems.This role blends deep technical knowledge of machine learning with architectural design, ensuring scalable, ethical, and high-performing AI solutions.
Key Requirements:
10+ years of experience in AI/ ML Model development and deployment, Deep Dive Analysis
3+ years as a Solution Architect
Expertise in implementing data driven solutions end to end using Statistical Techniques, Machine Learning, Deep Learning and MLOps frameworks.
Proficient in Data Science Competencies; Supervised and Unsupervised Machine Learning and Deep Learning Algorithms
Working experience in MLOps - Model Validation, Explainability, Monitoring & Management (AI Glass Box)
Good understanding of Latent Sematic analysis, Document Similarity Models, Document Classification, Text Analytics and Language Models
Adept at Recommender Systems - Content based and Collaborative Filtering
Experience in Computer Vision and Image Analytics - Neural Nets, Convolution Neural Nets and Recurrent Neural Nets
Proficient in Statistical Modeling and Predictive Analytics
Experience in Conceptualizing and implementing Gen AI Solution is must.
Tools & Technologies:
ADO skills will be good.
Let's talk about what's in it for you!
Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.
As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:
Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.
Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.
Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.
Recognized by Ethisphere as one of the World's Most Ethical Companies for the last 10 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.
Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries IT Services and IT Consulting and Banking
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MNC l Bank

The Job

• Ensure the quality and accuracy of Gen AI use cases through comprehensive monitoring and analysis.
• Establish and improve scalable accuracy monitoring processes applicable to various Gen AI use cases.
• Provide stakeholders with clear and insightful reports on Gen AI performance.
• Manage and analyze accuracy data, ensuring data quality and relevance for performance evaluation
• Implement and refine monitoring processes to track key metrics for Gen AI use cases, enabling proactive identification of performance trends and potential issues
• Generate regular reports on the accuracy and performance of Gen AI use cases, highlighting trends and insights for stakeholders and various forums
• Contribute to the preparation of Gen AI test data, focusing on document samples

The Talent

• Diploma or Bachelor's degree in a relevant field (e.g. Comp Science, Data Analytics, Business)
• Up to 2 yrs of experience in data analysis, or AI-related work
• Basic understanding of Gen AI concepts and how they are used
• Comfortable using tools like Excel, SQL, or Python for data analysis
• Strong attention to detail and focus on data accuracy
• Good at organizing tasks and tracking project progress
• Willing to learn and adapt in a fast-paced environment
• Bonus: Experience with AI model evaluation or working with document-based datasets

Next Steps

• Drop your resume and contact us to follow-up, or send your resume to
• Email Topic: Gen AI

Wu Yue Shan

EA License No: 91C2918

Personnel Registration Number: R

• Define the technical strategy and system architecture for AI chatbot and agent-based products, ensuring designs are scalable, secure, and maintainable in line with product requirements
• Lead the development of GenAI-driven chatbot systems, guiding the engineering team in implementing features that utilize machine learning, natural language processing, and knowledge-based integration
• Work closely with product management to align technical implementation with the product vision and roadmap, providing insights into technical feasibility, effort estimation, and innovative solutions to meet business goals
• Oversee the end-to-end software development lifecycle for AI projects, including coding standards, code reviews, testing, and deployment, to ensure high-quality releases
• Serve as the technical point of contact for stakeholders and clients, explaining complex technical concepts in clear terms, incorporating stakeholder feedback into technical decisions and product improvements and personally drive key implementation tasks.
• Stay informed about the latest advancements in AI/ML and evaluate how the team can leverage these innovations to enhance our product offerings
• Identify potential risks, bottlenecks, or technical debt in projects early on and implement strategies to mitigate them, ensuring on-time delivery of solutions without compromising quality
• Contribute to product strategy from a technical perspective, suggesting new features or improvements that could be enabled by emerging technologies or better use of existing data and systems
• Programming languages: Java, TypeScript, Python, Shell Script
• Platform: Hadoop, Azure, Google Cloud and internal private cloud in some cases
• Databases: BigQuery, BigTable,HBase,MySQL, Hive
• Web Applications: Node.js, Spring Boot
• Monitoring: Cloud Monitoring
• Others: Cloud Dataflow (ETL), Docker (Container Technology), Github ations(CI/CD), Kubernetes & Cloud Run (Deployment Environment)
Skills and Experiences:
• Minimum of 7 years in software development, including at least a couple of years in technical leadership role (Tech Lead, Team Lead, or similar). Proven track record of leading teams to deliver complex software projects, ideally AI or data-driven products
• Expertise in cloud platforms such as *Google Cloud Platform (GCP)*, AWS, or Azure, and hands-on experience with multi-cloud environments.
• Strong experience with CI/CD pipelines, automated testing, and a commitment to maintaining high software quality standards.
• Ability to support production systems, including incident management and root cause analysis for issue resolution.
• Experience working closely with product management or having direct product management responsibilities. Ability to balance technical excellence with user/business needs, shaping solutions that deliver value and great user experience
• Deep understanding of AI/ML technologies (e.g. machine learning algorithms, natural language processing, large language models) and hands-on experience with related tools and frameworks. Proficiency with languages and frameworks commonly used in AI (for example, Python with TensorFlow/PyTorch) and knowledge of building and deploying AI models in production
• Strong skills in software architecture and system design. Excellent problem-solving abilities, especially in diagnosing technical issues in AI systems and optimizing performance
• Excellent communication and interpersonal skills, with the ability to articulate technical concepts and AI model behaviors to non-technical stakeholders in a clear manner. Capable of writing and reviewing technical design documents and proposals
• Demonstrated ability to guide, mentor, and motivate an engineering team. Experience in code reviews, setting coding standards, and fostering a culture of quality and innovation. Comfortable coordinating across cross-functional teams (design, product, operations) to achieve common goals
• A strategic and innovative mindset with keen interest in staying updated on new AI trends and research. Ability to quickly learn and experiment with new technologies and incorporate relevant innovations into the product.
• Track record of delivering high-quality software solutions on schedule. Experience with agile development methodologies, project planning, and managing resources effectively. Ensures robustness and scalability in deliverables through thorough testing and best DevOps practices
Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.

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

In this role, you will be responsible for ensuring the quality and accuracy of Gen AI use cases. You will monitor and analyze various Gen AI use cases to identify areas for improvement and implement scalable accuracy monitoring processes.

You will also provide stakeholders with clear and insightful reports on Gen AI performance, manage and analyze accuracy data, and contribute to the preparation of Gen AI test data.

This is a unique opportunity to work with cutting-edge technology and contribute to the development of innovative solutions.

• Proven experience in project management and operations
• Strong analytical and problem-solving skills
• Excellent communication and reporting skills
• Experience with Gen AI and related technologies
• Ability to work independently and as part of a team
• Strong organizational and time management skills

This role offers a competitive salary and benefits package, including opportunities for professional growth and development.

You will have the chance to work with a dynamic team and contribute to the success of our organization.

We are committed to providing a positive and inclusive work environment.

Please note that this is not an exhaustive list of responsibilities and duties. The successful candidate will be required to perform other tasks and responsibilities as assigned by their manager or supervisor.

The ideal candidate will have a strong passion for innovation and a willingness to learn and adapt to new technologies and processes.

If you are a motivated and results-driven individual who is looking for a new challenge, please apply today!

The Opportunity

• This is an exciting opportunity to work for one of the leading banks.
• It is an opportunity for a Gen AI Performance Analyst to join their team

The Job

• Ensure the quality and accuracy of Gen AI use cases through comprehensive monitoring and analysis.
• Establish and improve scalable accuracy monitoring processes applicable to various Gen AI use cases.
• Provide stakeholders with clear and insightful reports on Gen AI performance.
• Manage and analyze accuracy data, ensuring data quality and relevance for performance evaluation
• Implement and refine monitoring processes to track key metrics for Gen AI use cases, enabling proactive identification of performance trends and potential issues
• Generate regular reports on the accuracy and performance of Gen AI use cases, highlighting trends and insights for stakeholders and various forums
• Contribute to the preparation of Gen AI test data, focusing on document samples

The Talent

• Diploma or Bachelor's degree in a relevant field (e.g. Comp Science, Data Analytics, Business)
• Up to 2 yrs of experience in data analysis, or AI-related work
• Basic understanding of Gen AI concepts and how they are used
• Comfortable using tools like Excel, SQL, or Python for data analysis
• Strong attention to detail and focus on data accuracy
• Good at organizing tasks and tracking project progress
• Willing to learn and adapt in a fast-paced environment
• Bonus: Experience with AI model evaluation or working with document-based datasets

Next Steps

• Drop your resume and contact us to follow-up, or send your resume to
• Email Topic: Gen AI
• Only shortlisted candidates will be contacted

Wu Yue Shan

EA License No: 91C2918

Personnel Registration Number: R