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Welcome to Flexinfra Sdn Bhd

Where The Future
Meets Intelligence

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Our Mission

We are driven by a singular mission: to harness the power of artificial intelligence to reshape industries and drive innovation like never before.

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Our Vision

To create a world where AI-driven solutions revolutionize the way we work, live, and connect.

Our Core Values

Our AI solutions are more than cutting-edge technology; they are tools that empower businesses to thrive in the digital age. From predictive analytics that optimize supply chains to natural language processing that transforms customer experiences, our AI offerings are at the forefront of transformation.

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Innovation
Integrity | Icon
Integrity
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Impact Guide
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What Sets Us Apart

Our proprietary algorithms, forged through years of dedicated research, give our solutions unmatched accuracy and reliability. But it’s not just about the technology. Our success stories tell the tale: companies that have increased productivity by 40%, healthcare providers that have improved patient outcomes, and retailers that have unlocked new revenue streams.

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Scalability

Scale Your Operations Seamlessly to Meet Growing Demands.

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Flexibility

Adapt Quickly to Changing Business Needs with Flexible Solutions.

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Security

Protect Your Data and Infrastructure with Robust Security Measures.

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Performance

Experience reliable performance with our advanced technology

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Cost Effectiveness

Pay-as-you-go Subscription Model to Secure A Better Outcomes and Tested Solutions

Meet Our Team

Behind these achievements is our exceptional team of AI experts, thought leaders, and visionaries. Their deep industry knowledge and commitment to ethical AI ensure that our solutions don’t just push boundaries; they do so responsibly, with data privacy and transparency as our guiding principles.

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Join Us On This Journey
Toward A Smarter Future

Explore our AI offerings, connect with our team, and let’s shape the world together.ect.

Sales Manager | IconSales Manager
Position | Icon
Sales Manager
Type | Icon
Full Time
Location | Icon
Selangor
Role Summary

The Sales Manager for AI Solutions is responsible for driving revenue growth by promoting AI products, platforms, and services to enterprise customers. This role involves managing the full sales cycle, developing strategic customer relationships, and positioning AI solutions that create measurable business impact.

  1. Business Development & Sales Execution
  • Identify, qualify, and close opportunities for AI solutions across enterprise and government sectors.
  • Develop and maintain a strong sales pipeline for AI infrastructure, AI platforms, and AI transformation services.
  • Execute consultative selling by understanding customers’ business challenges and mapping them to AI capabilities.
  1. Customer Engagement & Relationship Management
  • Engage senior stakeholders (CIO, CTO, COO, IT Directors) to drive AI adoption.
  • Build long-term strategic relationships with key accounts.
  • Conduct product demos, presentations, and solution pitches tailored to customer use cases.
  1. AI Solution Positioning
  • Work closely with technical teams to translate customer requirements into AI solution proposals.
  • Clearly articulate the value of AI, including ROI, productivity gains, cost savings, automation workflows, and competitive advantages.
  • Align AI offerings such as:
    • AI Chatbots
    • AI Data Infrastructure & MLOps
    • Token-as-a-Service (TaaS)
    • AI Integration & Migration Services
  1. Territory & Revenue Management
  • Manage target accounts and achieve quarterly and annual sales targets.
  • Build account strategies, including expansion plans and upsell/cross-sell opportunities.
  • Prepare accurate sales forecasts and market insights for management.
  1. Collaboration with Internal Teams
  • Work with Marketing to run AI campaigns, events, and lead-generation activities.
  • Collaborate with Solutions Architects and Engineers to craft proposals and POCs.
  • Provide customer feedback to enhance product development and roadmap.
  • 3–8 years of sales experience in IT, Cloud, AI, SaaS, or enterprise solutions.
  • Strong understanding of AI tech trends (GenAI, LLMs, data pipelines, automation).
  • Proven track record of achieving sales targets.
  • Excellent communication and presentation skills.
  • Experience selling into Enterprise, MNC, or Public Sector.
  • Familiarity with cloud platforms (AWS, Azure, GCP) or AIOps platforms.
  • Ability to translate technical concepts into business outcomes.
  • Existing network of IT leaders, CIOs, and digital transformation teams.
Position | Icon
Marketing Executive
Type | Icon
Full Time
Location | Icon
Selangor
Role Summary

The Marketing Executive for AI Solutions supports the planning, execution, and optimization of marketing strategies that promote AI products, infrastructure services, and digital transformation solutions. The role involves content creation, campaign management, brand positioning, and lead generation focused on AI adoption for enterprise clients.

  1. Marketing Strategy & Campaign Execution
  • Assist in planning and executing AI-focused marketing campaigns across digital channels.
  • Create integrated marketing plans to promote AI Chatbots, AI Solutions, AI Infrastructure, and Token-as-a-Service (TaaS).
  • Develop quarterly campaign calendars aligned with sales goals and product launches.
  1. Content Creation & Brand Messaging
  • Produce high-quality content such as:
    • Social media posts
    • Product brochures
    • AI solution decks
    • Case studies and customer success stories
  • Ensure all messages align with Flexinfra’s brand and AI value proposition.
  1. Lead Generation & Funnel Support
  • Execute digital marketing tactics to generate qualified leads for the sales team.
  • Optimize campaigns for engagement, reach, and conversion.
  • Coordinate with Sales to ensure leads are handed off smoothly and nurtured effectively.
  1. Event & Webinar Management
  • Support planning and execution of events, workshops, conferences, and AI demonstrations.
  • Coordinate logistics, invitations, registration, and post-event follow-up.
  • Assist in booth design, event materials, and onsite branding.
  1. Market Research & Competitive Analysis
  • Conduct research on AI industry trends, competitors, and customer behavior.
  • Prepare reports on AI adoption, enterprise tech trends, and digital transformation opportunities.
  • Provide insights to enhance marketing strategies and product positioning.
  1. Collaboration with Internal Teams
  • Work closely with Sales, Product, and Technical teams to align marketing materials with actual solution capabilities.
  • Gather customer feedback to improve marketing collaterals and AI product messaging.
  • Ensure marketing deliverables support sales pitches, product demos, and proposals.
  • Diploma/Degree in Marketing, Mass Communication, or related field.
  • 1–3 years experience in digital marketing, tech marketing, or B2B marketing.
  • Strong writing, content creation, and communication skills.
  • Knowledge of social media platforms, Canva, Adobe, or design tools.
  • Experience in marketing for AI, IT, SaaS, cloud, or enterprise solutions.
  • Understanding of AI trends (chatbots, automation, cloud, data).
  • Basic knowledge of SEO, SEM, and paid ads.
  • Ability to turn technical information into simple, impactful messages.
Position | Icon
AI Engineer / Intern
Type | Icon
Full Time
Location | Icon
Selangor
Role Summary

The AI Engineer is responsible for developing, deploying, and optimizing AI models and automation solutions. This role involves working closely with product, engineering, and data teams to build intelligent systems that improve business processes, enhance customer experience, and enable AI-driven transformation.

  1. AI Model Development
  • Develop, train, and fine-tune AI/ML models including NLP, computer vision, chatbots, and predictive analytics.
  • Build GenAI and LLM-based solutions using frameworks such as PyTorch or TensorFlow.
  • Optimize models for accuracy, performance, and scalability.
  1. AI Solution Engineering
  • Develop AI pipelines including data preprocessing, model training, and inference workflows.
  • Implement APIs to integrate AI models with applications, websites, and backend systems.
  • Work on AI chatbots, voicebots, call center AI, and enterprise automation tools.
  1. Deployment & MLOps
  • Deploy AI models using Docker, Kubernetes, or cloud platforms (AWS/Azure/GCP).
  • Implement monitoring, logging, and performance tuning for AI systems.
  • Ensure model security, compliance, and version control.
  1. Collaboration & Solution Design
  • Work with Product and Solutions Architect to translate business requirements into technical designs.
  • Collaborate with Sales & Marketing to provide technical insights and assist in demos or POCs.
  • Document system architecture, flow diagrams, and model behavior.
  1. Continuous Improvement
  • Stay updated with latest AI research, tools, and frameworks.
  • Evaluate new models, datasets, and technologies for adoption.
  • Enhance accuracy, latency, and reliability of existing AI systems.
  • Degree in Computer Science, Data Science, AI, or related field.
  • Strong coding skills in Python.
  • Experience with machine learning frameworks (PyTorch/TensorFlow).
  • Understanding of LLMs, NLP, vector databases, or embeddings.
  • Experience with cloud AI (AWS Sagemaker, Azure AI, GCP Vertex).
  • Knowledge of MLOps, CI/CD, or containerization.
  • Familiarity with LangChain, RAG pipelines, or prompt engineering.
  • Experience building chatbots or AI automation tools.
Position | Icon
AI DevOps Engineer / Intern
Type | Icon
Full Time
Location | Icon
Selangor
Role Summary

The AI DevOps Engineer is responsible for designing, deploying, and maintaining AI infrastructure and pipelines. This role ensures AI/ML models, applications, and data workflows are scalable, reliable, and production-ready, bridging the gap between development and operations in AI systems.

  1. AI Infrastructure & Deployment
  • Deploy AI/ML models and applications on cloud platforms (AWS, Azure, GCP) or on-prem infrastructure.
  • Automate AI model deployment using CI/CD pipelines, Docker, and Kubernetes.
  • Ensure high availability, scalability, and performance of AI services.
  1. MLOps & Pipeline Management
  • Build and maintain end-to-end ML pipelines: data ingestion, preprocessing, training, validation, and inference.
  • Implement monitoring, logging, and alerting for AI models in production.
  • Optimize models for latency, resource usage, and reliability.
  1. Collaboration with AI & Engineering Teams
  • Work closely with AI Engineers to deploy models, integrate APIs, and maintain workflows.
  • Support version control, model registry, and reproducibility best practices.
  • Assist in building POCs, prototypes, and enterprise-grade AI systems.
  1. Security & Compliance
  • Implement security best practices for AI infrastructure and data pipelines.
  • Ensure compliance with enterprise standards and data governance policies.
  1. Continuous Improvement
  • Stay updated with DevOps, MLOps, and cloud trends.
  • Optimize CI/CD, container orchestration, and cloud deployment practices.
  • Evaluate new tools, frameworks, and AI infrastructure platforms.
  • Degree in Computer Science, Software Engineering, AI, or related field.
  • Strong knowledge of Python, Bash, or other scripting languages.
  • Experience with Docker, Kubernetes, CI/CD tools (Jenkins, GitLab, GitHub Actions).
  • Knowledge of cloud services for AI deployment (AWS SageMaker, GCP Vertex AI, Azure ML).
  • Experience with MLOps frameworks (MLflow, Kubeflow).
  • Familiarity with AI model serving (FastAPI, TorchServe, Triton).
  • Understanding of container orchestration, logging, and monitoring tools.
  • Knowledge of LLMs, embeddings, or generative AI deployment.
Position | Icon
Sales Manager
Type | Icon
Full Time
Location | Icon
Selangor
Role Summary

The Sales Manager for AI Solutions is responsible for driving revenue growth by promoting AI products, platforms, and services to enterprise customers. This role involves managing the full sales cycle, developing strategic customer relationships, and positioning AI solutions that create measurable business impact.

  1. Business Development & Sales Execution
  • Identify, qualify, and close opportunities for AI solutions across enterprise and government sectors.
  • Develop and maintain a strong sales pipeline for AI infrastructure, AI platforms, and AI transformation services.
  • Execute consultative selling by understanding customers’ business challenges and mapping them to AI capabilities.
  1. Customer Engagement & Relationship Management
  • Engage senior stakeholders (CIO, CTO, COO, IT Directors) to drive AI adoption.
  • Build long-term strategic relationships with key accounts.
  • Conduct product demos, presentations, and solution pitches tailored to customer use cases.
  1. AI Solution Positioning
  • Work closely with technical teams to translate customer requirements into AI solution proposals.
  • Clearly articulate the value of AI, including ROI, productivity gains, cost savings, automation workflows, and competitive advantages.
  • Align AI offerings such as:
    • AI Chatbots
    • AI Data Infrastructure & MLOps
    • Token-as-a-Service (TaaS)
    • AI Integration & Migration Services
  1. Territory & Revenue Management
  • Manage target accounts and achieve quarterly and annual sales targets.
  • Build account strategies, including expansion plans and upsell/cross-sell opportunities.
  • Prepare accurate sales forecasts and market insights for management.
  1. Collaboration with Internal Teams
  • Work with Marketing to run AI campaigns, events, and lead-generation activities.
  • Collaborate with Solutions Architects and Engineers to craft proposals and POCs.
  • Provide customer feedback to enhance product development and roadmap.
  • 3–8 years of sales experience in IT, Cloud, AI, SaaS, or enterprise solutions.
  • Strong understanding of AI tech trends (GenAI, LLMs, data pipelines, automation).
  • Proven track record of achieving sales targets.
  • Excellent communication and presentation skills.
  • Experience selling into Enterprise, MNC, or Public Sector.
  • Familiarity with cloud platforms (AWS, Azure, GCP) or AIOps platforms.
  • Ability to translate technical concepts into business outcomes.
  • Existing network of IT leaders, CIOs, and digital transformation teams.
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