Total 15 pr agent job vacancies in Engineering category in Singapore

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Job highlights

Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, Meals provided, Competitive compensation

Responsibilities

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

-Responsible for research and development of Agent technologies for the Volcano Engine Ark Large Model Platform, including foundational capabilities such as multi-agent frameworks and memory mechanisms

-Develop domain-specific agents such as UI Agents and DeepResearch Agents to enhance large model performance in specialized scenarios

-Design and implement user-friendly and efficient Agent development toolkits to lower the barrier for developers adopting Agent technologies

-Explore innovative methods and technologies in the Agent domain, propose advanced paradigms, and help drive industry progress

-Investigate evaluation methodologies for Agents and build a comprehensive evaluation system for the Ark Agent ecosystem

Qualifications

Minimum Qualifications

-Proficient in at least one programming language such as Python, Java, or Go

-Strong understanding of large language models (LLMs), including their principles and application methods is required

Preferred Qualifications:

-Deep understanding of Agent-related methodologies; experience with reinforcement learning and planning algorithms is a plus

-Passion for AI-native applications, with the ability to quickly reproduce research papers and translate them into production systems. Publications in top-tier conferences or contributions to open-source projects are a plus

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Job highlights

Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, Meals provided, Competitive compensation

Responsibilities

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

-Responsible for research and development of Agent technologies for the Volcano Engine Ark Large Model Platform, including foundational capabilities such as multi-agent frameworks and memory mechanisms

-Develop domain-specific agents such as UI Agents and DeepResearch Agents to enhance large model performance in specialized scenarios

-Design and implement user-friendly and efficient Agent development toolkits to lower the barrier for developers adopting Agent technologies

-Explore innovative methods and technologies in the Agent domain, propose advanced paradigms, and help drive industry progress

-Investigate evaluation methodologies for Agents and build a comprehensive evaluation system for the Ark Agent ecosystem

Qualifications

Minimum Qualifications

-Proficient in at least one programming language such as Python, Java, or Go

-Strong understanding of large language models (LLMs), including their principles and application methods is required

Preferred Qualifications:

-Deep understanding of Agent-related methodologies; experience with reinforcement learning and planning algorithms is a plus

-Passion for AI-native applications, with the ability to quickly reproduce research papers and translate them into production systems. Publications in top-tier conferences or contributions to open-source projects are a plus

About MySigrid
MySigrid is on a mission to give time back to busy professionals through executive support that blends world-class human assistants with intelligent systems. We're now evolving from a smart task management console into an AI-native platform — integrating LLMs, agentic workflows, and intelligent automation. If you've ever thought, "I could build something better with GPT and a weekend," this is your scene.

The Opportunity

We are seeking an AI Agent Engineer to design, develop, and deploy intelligent AI agents that automate workflows, enhance productivity, and improve user experiences across our systems. This role requires a strong understanding of AI models, prompt engineering, API integrations, and workflow automation. The ideal candidate combines strong technical skills with creativity and curiosity — capable of leveraging tools such as OpenAI, Anthropic, or similar LLMs to build solutions that transform how we work.

Key Responsibilities:

• Design and Build AI Agents: Develop, train, and deploy custom AI agents that automate business tasks, manage conversations, and execute multi-step workflows.
• Integrate APIs and Tools: Connect AI systems with third-party applications (e.g., Slack, Make.com, Airtable, Google Workspace, CRMs) for dynamic automation.
• Workflow Automation: Create and optimize end-to-end AI-driven automations for internal and client use cases.
• Prompt Engineering: Craft, test, and refine advanced prompts and system instructions to ensure optimal LLM performance.
• Model Customization: Fine-tune or adapt pre-trained language models for specific business needs.
• Testing & Evaluation: Measure agent performance, accuracy, and response quality; implement improvements using feedback and data-driven insights.
• Documentation: Develop and maintain technical documentation for AI workflows, processes, and model configurations.
• Collaboration: Work closely with developers, product teams, and operations to identify AI opportunities and design practical, scalable solutions.
• Data Privacy & Ethics: Ensure AI systems comply with data security, privacy, and ethical use standards.

Skills and Experience:

• Education: Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or related field (or equivalent practical experience).
• Experience: 2+ years of experience in AI, software development, or automation engineering.
• Technical Skills:
• Proficiency in Python, JavaScript, or similar programming languages.
• Experience working with OpenAI, Anthropic, LangChain, LlamaIndex, or similar AI frameworks.
• Familiarity with APIs, webhooks, and RESTful integrations.
• Understanding of prompt design, LLM architectures, and vector databases (e.g., Pinecone, ChromaDB).
• Experience with workflow automation platforms (e.g., Make.com, Zapier, n8n).
• Soft Skills: Strong analytical thinking, curiosity, adaptability, and problem-solving mindset.

Bonus Points For

• Experience with React Native, GraphQL, or design systems.
• Prior work with AI/ML tools, APIs, or infrastructure.
• Building or contributing to open-source AI tools.

At MySigrid, we aim to ensure the professional and personal growth of all our employees:

• A product-led team with a real mission
• Room to shape the AI roadmap of a growing tech platform
• High agency, low bureaucracy
• Remote-first, async-friendly work culture
• Work with people who ship fast and think long-term
  

How to Apply

Send us your CV, GitHub, portfolio, or even your favorite AI demo. Bonus if you include a note about how you think AI will change software development in the next 12 months.

AI Engineer (LLM / Agent Systems)

Overview

We are looking for an AI Engineer to design and build AI-powered agents to support both internal business functions and external customer interactions. This role will focus on developing lightweight, practical AI solutions, including internal productivity agents (e.g. marketing support, content generation, workflow automation) and customer-facing chatbot systems for retail engagement.

Key Responsibilities

• Design and develop AI agents and chatbot solutions using large language models (LLMs) for both internal and external use cases

• Build and deploy customer-facing chatbot agents to support retail sales, enquiries and user engagement

• Develop internal AI tools to automate workflows across functions such as marketing, content creation and operations

• Implement RAG (retrieval-augmented generation) pipelines to integrate company data into AI systems

• Integrate AI solutions with internal systems (CRM, CMS, databases, APIs)

• Optimise prompts, agent workflows and tool usage to improve accuracy and user experience

• Monitor and improve model performance, including handling edge cases and reducing hallucinations

• Collaborate with business stakeholders to translate requirements into practical AI solutions

Requirements

• 3–6+ years of experience in software engineering, machine learning or AI engineering

• Hands-on experience working with LLMs (e.g. OpenAI, Claude, Llama) and building real-world applications

• Experience with agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar)

• Strong programming skills in Python

• Experience building chatbots or conversational AI systems

• Familiarity with APIs, backend systems and cloud platforms (AWS, GCP or Azure)

• Understanding of RAG, prompt engineering and basic evaluation techniques

Nice to Have

• Experience deploying AI systems in production environments

• Exposure to customer-facing applications (e-commerce, retail, support chatbots)

• Basic front-end knowledge (for chatbot UI integration)

• Experience working with vector databases (e.g. Pinecone, Weaviate, FAISS)

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Responsibilities

Team Introduction:

We are the core team responsible for the performance experience of TikTok LIVE, dedicated to safeguarding and continuously enhancing the end-to-end experience for billions of users worldwide—from discovering a live stream to the moment creators go live.

In the context of globalization, with diverse network environments, device ecosystems, and user behaviors, we proactively identify performance bottlenecks and experience gaps by building a systematic end-to-end metrics framework and diagnostic system.

We champion “AI-driven” and “proactive leadership” as our core value creation principles. Our mission is to build industry-leading performance analysis agents and intelligent platforms—automating repetitive analysis into scalable insights, and leveraging technological innovation to directly improve live streaming experience and drive business growth at a global scale.

Here, you will have the opportunity to:

• Work at the forefront of technology: Help build industry-leading performance analysis agents and redefine the paradigm of performance optimization in the live streaming domain.
• Create real business impact: Your work will be applied to one of the world’s largest live streaming platforms, solving complex, high-impact technical challenges.
• Unlock significant growth opportunities: Grow in a fast-moving, innovation-driven global team, and collaborate with top talent worldwide.

We believe the best talent is driven to solve the most important problems using cutting-edge technologies. If you are passionate about AI, performance optimization, and delivering exceptional user experiences, we look forward to building a smoother and smarter LIVE future with you.

Core Responsibilities

As a core member of the team, you will be deeply involved in the design, R&D, and platform implementation of the Performance Analysis Agent, transforming cutting-edge AI technologies into a powerful engine that drives business growth.

1. Design and develop the core capabilities of the Performance Analysis Agent

Lead or contribute to developing AI-powered capabilities for the performance analysis workflow, including but not limited to:

• Automatic Data Inspection and Attribution: Real-time monitoring, anomaly detection, and minute-level automated attribution of massive performance metrics.
• Automation of Experimental Analysis: Automatically generate scientific and rigorous A/B experiment reports to improve decision-making efficiency and quality.
• Thematic Analysis Assistance: Provide AI support for complex performance topics (e.g., power consumption, smoothness, loading speed) and produce in-depth insights at scale.
• Shift-Left Code Performance Review: Integrate AI into the Code Review (CR) phase to automatically detect performance risks, identify issues early, and address them at the source.

2. Build and evolve the Agent platform and services

Contribute to the development and evolution of the team’s Agent platform, upgrading traditional APIs to a more powerful and flexible MCP (Model-Controller-Proxy) service framework. Strengthen the data and tooling foundation to enhance overall scalability, reusability, and reliability.

3. Continuously improve Agent core performance

Leverage industry-leading technologies to enhance the Agent’s accuracy and efficiency in understanding, retrieval, decision-making, and response, including:

• Prompt Engineering and Chain of Thought (CoT): Design and optimize prompts to fully unleash large model capabilities.
• Retrieval-Augmented Generation (RAG): Combine with high-quality knowledge bases to improve accuracy and timeliness of responses.
• Function Calling: Extend the Agent’s ability to interact with external tools and data sources.
• Memory Mechanism and Evaluation Iteration: Enable the Agent to learn and iterate while establishing a robust, scientific evaluation system.

4. Drive the AI value closed loop

Deeply understand live streaming business and technical pain points, identify opportunities for AI-driven innovation, and work closely with business, product, and R&D teams to turn AI solutions into measurable outcomes—improving R&D efficiency, service quality, and user experience metrics.

Minimum Qualifications:

We value your passion for technology, understanding and insight into business, as well as past achievements. We hope you possess excellent fundamental capabilities and growth potential:

1. Strong engineering and implementation skills

Possess excellent coding ability and solid software engineering fundamentals. Familiar with at least one mainstream backend development language (e.g., Go, Python, Java, Rust, C++), and capable of independently designing and implementing complex systems.

2. Familiarity with the LLM and Agent technology ecosystem

Have a deep understanding of large language models (LLMs), be familiar with mainstream Agent paradigms, and have practical experience integrating AI technologies into real-world workflows (partial experience is also acceptable).

3. Excellent problem decomposition and system design skills

Able to clearly break down and abstract complex, ambiguous business problems into scalable system architectures and reusable technical solutions.

4. Strong technical curiosity and learning ability

Maintain a high level of enthusiasm for cutting-edge technologies, continuously follow industry best practices, and quickly learn and apply new knowledge to practical work.

Preferred Qualifications:

• Hands-on project experience with AI Agents or related fields, including leading or deeply participating in Agent design and implementation.
• In-depth understanding or work experience in performance analysis, observability, or data analysis.
• Basic knowledge of the live streaming technology stack (e.g., audio/video, network transmission, rendering).
• Active participation in high-quality open-source projects or recognized influence in the technical community.

A hands-on DevOps / DevSecOps Engineerto design, build, and operate secure, audit-ready CI/CD and release governancefor an Azure-based data platform ecosystem covering Azure Databricks, AzureData Factory (ADF), and Informatica IDMC. The role owns multi-environmentdeployment automation (Dev → UAT → Prod), embeds security controls, and ensuresevery release complies with customer IT security standards and auditexpectations.

Experience:

·      6+ years overall experiencein data platforms and cloud delivery, with at least 3+ years in Azure‑baseddata platforms and CI/CD implementation across Databricks, Azure Data Factory(ADF), and Informatica IDMC.

KeyResponsibilities (R&R)

·      Design, build, and operateAzure DevOps pipelines for Dev → UAT → Prod promotion with approval gates andsegregation of duties.

·      Implement environment‑awaredeployments with parameterisation, secrets management, and rollback capability.

·      Integrate Databricks AssetBundles, notebooks, workflows, and jobs into standardized release pipelines.

·      Enable CI/CD for ADFpipelines and IDMC mappings, ensuring dependency validation and controlledpromotion.

·      Implement rerun, replay, andrecovery pipelines to support operational resilience.

·      Embed DevSecOps controlsincluding RBAC, least‑privilege access, MFA for privileged roles, and securesecret handling.

·      Integrate platform alertsand deployment events with ServiceNow and enterprise monitoring tools.

·      Ensure deployments complywith customers IT Security standards and audit expectations.

·      Act as DevOps SPOC acrossdata engineering, governance, security, and platform teams.

MandatorySkills (Must‑Have)

·      JD ADF Databricks ClouderaData Engineer

·      CI/CD for Azure Databricks(Notebooks, Jobs, Workflows, Asset Bundles).

·      Azure Data Factory (ADF)CI/CD and environment promotion.

·      Informatica IDMC deploymentand promotion concepts.

·      Azure DevOps pipelines andGit branching strategies.

·      Secrets management usingAzure Key Vault.

·      Entra ID / Azure AD (RBAC,SSO, SCIM concepts).

·      Strong DevSecOpsfundamentals in regulated enterprise environments.

·      Experience working withmulti‑environment (Dev/UAT/Prod) data platforms.

Good‑to‑HaveSkills

·      Unity Catalog awareness(deployment impact, permissions, lineage dependencies).

·      ServiceNow integration foralerts and change notifications.

·      Exposure to Azure Sentinel /security logging integration.

·      Experience supporting dataplatform reruns, reconciliation, and DLP operations.

·      Understanding of metadata‑driveningestion and orchestration frameworks.

·      Experience in largeenterprise / public sector / regulated environments.

Behavioural& Delivery Expectations

·      Strong ownership mindsetwith accountability for CI/CD and release governance.

·      Ability to operate undertight go-live timelines while maintaining audit discipline.

·      Strong collaboration skillsacross engineering, platform, and security teams.

Job Highlights

• Global Hospitality Company
• Career Development with sponsored training opportunities
• Excellent Staff Benefits

Job Description

Reporting to Front Office Manager, the incumbent shall be responsible to:

Operations

• To ensure that all VIP arrival rooms are checked, and amenities are replenished in the rooms prior to the guest’s arrival.
• To welcome and bid farewell to all VIP guests.
• To develop and maintain close business contacts with house guests and to provide personalized service whenever possible.
• Attend to guests’ requests and thoroughly investigate guest complaints.
• Ensure effective communication via daily briefing, weekly update and monthly brainstorming within the department.

Guest Service

• Provide guests with access to hotel services, forward in-room meal requests, and ensure that mail, faxes and packages are delivered in a timely manner.
• To deal with irate guests and find ways to resolve issues to the guests’ satisfaction.
• To serve as concierges, assisting guests with ground transportation, restaurant or entertainment reservations, and providing other information about the locale

Pre-requisities:

1. Singaporean or PRs only.

2. Must be willing to work on weekends and public holidays.

Job Highlights

• Global Hospitality Company
• Career Development with sponsored training opportunities
• Excellent Staff Benefits

Job Description

Reporting to Front Office Manager, the incumbent shall be responsible to:

Operations

• To ensure that all VIP arrival rooms are checked, and amenities are replenished in the rooms prior to the guest’s arrival.
• To welcome and bid farewell to all VIP guests.
• To develop and maintain close business contacts with house guests and to provide personalized service whenever possible.
• Attend to guests’ requests and thoroughly investigate guest complaints.
• Ensure effective communication via daily briefing, weekly update and monthly brainstorming within the department.

Guest Service

• Provide guests with access to hotel services, forward in-room meal requests, and ensure that mail, faxes and packages are delivered in a timely manner.
• To deal with irate guests and find ways to resolve issues to the guests’ satisfaction.
• To serve as concierges, assisting guests with ground transportation, restaurant or entertainment reservations, and providing other information about the locale

Pre-requisities:

1. Singaporean or PRs only.

2. Must be willing to work on weekends and public holidays.

Job Summary

We are seeking a highly skilled Site Reliability Engineer (SRE) with strong expertise in AI-driven operations, automation, and cloud platforms. The ideal candidate will be responsible for ensuring high availability, performance, scalability, and reliability of mission-critical systems while leveraging AI/ML and automation tools to enhance operational efficiency and incident management.

Key Responsibilities

Reliability & Operations

• Ensure high availability, scalability, and performance of production systems.
• Define and manage SLIs, SLOs, and SLAs.
• Perform root cause analysis (RCA) and implement preventive measures.
• Manage incident response, problem management, and postmortems.

Automation & AI Integration

• Design and implement AI-driven monitoring, alerting, and anomaly detection solutions.
• Automate repetitive operational tasks using scripts, workflows, and orchestration tools.
• Leverage AIOps platforms to predict and prevent incidents.
• Build self-healing systems using automation frameworks.

Cloud & Infrastructure

• Manage and optimize infrastructure on cloud platforms (GCP/AWS/Azure).
• Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation.
• Ensure resilience, failover strategies, and disaster recovery readiness.
  
  Required Skills & Qualifications
• Technical Skills
• Strong experience in Linux/Unix systems administration
• Proficiency in Python, Java, or Go for automation
• Hands-on experience with containerization (Docker, Kubernetes)
• Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
• Expertise in cloud platforms (GCP preferred, AWS/Azure acceptable)
• Knowledge of Infrastructure as Code (Terraform, Ansible, Puppet)
• AI & Automation
• Experience with AIOps tools (e.g., Dynatrace, Moogsoft, Datadog AI features)
• Understanding of machine learning basics for anomaly detection
• Experience in building or integrating automation frameworks and bots
• Familiarity with chatbots, auto-remediation scripts, and predictive analytics
• SRE Practices

• Strong understanding of SRE principles

• Experience with incident management and reliability engineering
• Knowledge of capacity planning and performance tuning

AI Engineer (LLM / Agent Systems)

Overview

We are looking for an AI Engineer to design and build AI-powered agents to support both internal business functions and external customer interactions. This role will focus on developing lightweight, practical AI solutions, including internal productivity agents (e.g. marketing support, content generation, workflow automation) and customer-facing chatbot systems for retail engagement.

Key Responsibilities

• Design and develop AI agents and chatbot solutions using large language models (LLMs) for both internal and external use cases

• Build and deploy customer-facing chatbot agents to support retail sales, enquiries and user engagement

• Develop internal AI tools to automate workflows across functions such as marketing, content creation and operations

• Implement RAG (retrieval-augmented generation) pipelines to integrate company data into AI systems

• Integrate AI solutions with internal systems (CRM, CMS, databases, APIs)

• Optimise prompts, agent workflows and tool usage to improve accuracy and user experience

• Monitor and improve model performance, including handling edge cases and reducing hallucinations

• Collaborate with business stakeholders to translate requirements into practical AI solutions

Requirements

• 3–6+ years of experience in software engineering, machine learning or AI engineering

• Hands-on experience working with LLMs (e.g. OpenAI, Claude, Llama) and building real-world applications

• Experience with agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar)

• Strong programming skills in Python

• Experience building chatbots or conversational AI systems

• Familiarity with APIs, backend systems and cloud platforms (AWS, GCP or Azure)

• Understanding of RAG, prompt engineering and basic evaluation techniques

Nice to Have

• Experience deploying AI systems in production environments

• Exposure to customer-facing applications (e-commerce, retail, support chatbots)

• Basic front-end knowledge (for chatbot UI integration)

• Experience working with vector databases (e.g. Pinecone, Weaviate, FAISS)

We are seeking a creative and driven engineer to join our security engineering team in developing cutting-edge autonomous AI agents. You'll gain hands-on experience with advanced AI technologies while building intelligent solutions that tackle real-world challenges.

What You'll Do

• Research, implement and test autonomous AI agents that understand instructions, make decisions, and execute complex tasks

• Develop and optimize agent systems for memory management and knowledge retrieval

• Build robust integration patterns for agents to interact with various tools and APIs

Required Qualifications

• Bachelor's/Master's in Computer Science, Information Technology, or related field

• Strong Python programming skills with focus on AI/ML development

• Understanding of large language models (LLMs) and their practical applications

• Experience with prompt engineering and LLM interaction design

• Hands-on experience with AI frameworks (e.g., LangChain, AutoGPT) and development tools

Why Join Us

• Work alongside experts at the forefront of AI agent development

• Build practical experience in designing and deploying real-world AI solutions

• Contribute to innovative projects that push the boundaries of autonomous systems

Role Summary

We are hiring AI Agent Engineers to drive internal engineering productivity through AI-native tooling and automation. This role focuses on building and deploying agent-based systems that enhance developer efficiency, streamline workflows, and unlock scalable internal capabilities. You will work closely with engineering, product, and infrastructure teams to identify inefficiencies and deploy AI-driven solutions that improve speed, quality, and scalability of development.

Key Responsibilities

• Design, build, and maintain AI agent systems to improve internal engineering productivity
• Develop and adapt agent frameworks for internal use cases
• Automate workflows across code generation, testing, deployment, and monitoring
• Integrate LLMs and multi-agent systems into internal tools and platforms
• Identify bottlenecks in engineering processes and propose AI-driven solutions
• Collaborate with cross-functional teams to deploy agent-based capabilities at scale
• Continuously evaluate emerging AI/agent technologies and apply them to internal systems

Requirements

• 5–10+ years of software engineering experience 
• Strong experience in backend engineering (Python, Go, or similar)
• Hands-on experience with LLMs, AI agents, or automation frameworks
• Familiarity with agent architectures, tool use, and workflow orchestration
• Experience with developer tooling, CI/CD pipelines, or internal platforms is a plus
• Strong problem-solving skills with a product-oriented mindset
• Ability to work in a fast-paced, high-impact environment

Preferred Qualifications

• Experience building or contributing to agent frameworks or AI-native systems
• Familiarity with open-source agent ecosystems (e.g., Goose or similar frameworks)
• Background in optimizing engineering productivity or platform engineering
• Experience in crypto, fintech, or high-scale distributed systems

Why Join

• Opportunity to shape next-generation AI-native engineering infrastructure
• Direct impact on productivity across one of the world’s leading platforms
• Work on cutting-edge agent frameworks and real-world AI applications
• High ownership and visibility with strong engineering culture

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

www.dadaconsultants.com

EA Registration Number: R2197058

Business Registration Number: 201735941W. Licence Number: 18S9037

We are seeking a highly skilled Senior Cloud Engineer to design, implement, and optimize cloud-based solutions across our enterprise infrastructure. The ideal candidate will have deep expertise in cloud platforms (AWS, Azure, or GCP), strong automation skills, and a proven track record of driving scalability, security, and efficiency in cloud environments.

Key Responsibilities

• Cloud Architecture & Design

  • Design and implement scalable, secure, and highly available cloud solutions.

  • Collaborate with architects and developers to define cloud strategies and best practices.

• Infrastructure Automation

  • Develop Infrastructure-as-Code (IaC) using tools such as Terraform, CloudFormation, or ARM templates.

  • Automate deployment pipelines and operational tasks to improve efficiency.

• Operations & Monitoring

  • Manage cloud environments, ensuring performance, reliability, and cost optimization.

  • Implement monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, CloudWatch).

• Security & Compliance

  • Enforce cloud security policies, identity and access management, and compliance standards.

  • Conduct regular audits and implement remediation strategies.

• Collaboration & Leadership

  • Mentor junior engineers and provide technical guidance across teams.

  • Partner with DevOps, Security, and Application teams to deliver end-to-end solutions.

Qualifications

• Bachelor’s degree in computer science, Engineering, or related field
  
  5+ years of experience in cloud engineering or related roles.

• Hands-on expertise with at least one major cloud provider (AWS, Azure, GCP).

• Proficiency in scripting languages (Python, Bash, PowerShell).

• Experience with containerization and orchestration (Docker, Kubernetes).

• Strong knowledge of networking, security, and cloud governance.

• Excellent problem-solving, communication, and leadership skills.

Preferred Skills

• Certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect.

• Experience with hybrid cloud and multi-cloud strategies.

• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI).

• Knowledge of FinOps practices for cloud cost management.

We are exploring the next generation of AI-native systems, where large models evolve from passive assistants into autonomous agents capable of reasoning, planning, and interacting with complex environments.

Building on our expertise in edge AI, multimodal sensing, and large-scale model systems, we are developing agent architectures that integrate perception, tool use, and long-horizon task execution.

We are looking for an AI Engineer Intern to help design and build agent-based systems powered by large language models and multimodal models. You will work closely with researchers and engineers to prototype new agent workflows, evaluate emerging agent frameworks, and build practical systems that extend AI capabilities from conversation to action.

This position is ideal for students who are passionate about AI agents, large models, autonomous workflows, and AI-native development environments.

What you will be doing:

·      Agent Architecture Development

Design and prototype AI agent architectures capable of reasoning, planning, and executing multi-step tasks.

·      LLM-based Systems Engineering

Develop pipelines that integrate large language models with tools, APIs, and external environments.

·      Tool Use & Automation
Build tool interfaces that allow agents to interact with software environments (e.g., code execution, web interaction, data processing).

·      Agent Evaluation
Design experiments and benchmarks to evaluate agent capabilities, such as reasoning, coding, planning, and task completion.

·      AI-native Workflows
Explore how agent systems can augment engineering workflows, including developer copilots, automated debugging, and task orchestration.

What you should have: 

·      Currently pursuing in Computer Science, Artificial Intelligence, or a related field

·      Solid understanding of deep learning and large language models

·      Familiarity with LLM application development, such as prompt engineering, tool calling, or retrieval systems

·      Strong programming skills in Python

·      Experience with PyTorch, TensorFlow, or similar deep learning frameworks

·      Strong problem-solving skills and ability to work independently

·      Good communication and documentation skills

Preferred Skills:

·      Experience building AI agents or LLM-based applications

·      Familiarity with agent frameworks (LangChain,Langraph,agno,openclaw,mem0,etc)

·      Experience with multimodal models (vision-language models, document understanding)

·      Experience with AI-assisted coding workflows

·      Open-source contributions or research projects related to LLMs, agents, or AI systems

About the Company

Our client is a technology driven Web3 company focused on building innovative products at the intersection of AI native systems and blockchain. They are looking for a DevOps/SRE to support the infrastructure and operational stability of the AI and crypto based platforms. You are expected to maintain system reliability, improve deployment processes, and ensure the performance and security of the production environments.

Key Responsibilities

• Maintain and support the infrastructure behind our AI and Web3 products
• Continuously monitor system performance, availability, and security
  Build and optimize CI/CD pipelines to streamline development and deployment
• Manage infrastructure using infrastructure as code tools such as Terraform or Ansible
• Diagnose and resolve production issues efficiently
• Work closely with engineering teams to improve system scalability and operational reliability

Required Qualifications

• Minimum 3 years of experience in DevOps, SRE, or infrastructure engineering
• Hands on experience with cloud platforms such as AWS, GCP, or Azure
• Strong knowledge of container technologies including Docker and Kubernetes
• Familiarity with CI/CD automation tools like GitHub Actions, GitLab CI, or Jenkins
• Understanding of Web3 infrastructure including blockchain nodes, RPC services, or wallet integrations
• Experience with monitoring and observability tools such as Prometheus, Grafana, or Datadog

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.