Back
Profile
AXERAT
Website
axerat.comNumber of employees
Not specified
Locations
Singapore
Markets
No specializations specified yet
Description
Custom AI Agent Development: We build intelligent agents tailored to specific business needsranging from virtual assistants and customer support bots to advanced multi-agent systems for enterprise automation.
Natural Language Processing (NLP): Our agents are powered by state-of-the-art NLP models, enabling them to understand, respond, and learn from human interaction.
Integration & Deployment: We ensure seamless integration of our agents into existing platforms (Slack, CRM systems, web apps, etc.), optimizing performance across environments.
Autonomous Capabilities: Our agents can perform tasks with minimal human inputsuch as scheduling, data analysis, lead generation, or even code writing.
Ethical AI & Safety: We prioritize building responsible AI, with safeguards for bias mitigation, user privacy, and secure data handling.
Preferred payment options
AXERAT
Back End Developer in AI projects
Singapore
Singapore
Full time
Remote
We are seeking a skilled and proactive AI Integrator to join our team and lead the integration of artificial intelligence technologies into our business operations, products, and services. This role is pivotal in bridging the gap between data science, engineering, and business units, ensuring the seamless deployment, scaling, and optimization of AI-driven solutions.
You will work closely with stakeholders across product, engineering, data science, and operations to identify opportunities for AI integration, manage implementation, and maintain AI systems post-deployment.
Key Responsibilities:
Collaborate with cross-functional teams to identify and prioritize opportunities for AI integration.
Evaluate and select appropriate AI/ML tools, APIs, and frameworks that align with business objectives.
Deploy and integrate AI models into production environments and existing systems (e.g., CRM, ERP, customer support platforms).
Develop automation workflows using AI tools (e.g., ChatGPT, Claude, Azure AI, Google Vertex AI).
Ensure data pipelines, model outputs, and integrations are reliable, secure, and scalable.
Translate business needs into technical requirements for AI systems.
Monitor, troubleshoot, and optimize deployed AI systems for accuracy, performance, and ethical alignment.
Maintain documentation and provide training or support to internal teams on AI tools and capabilities.
Stay current with AI trends, emerging technologies, and best practices.
Required Qualifications:
Certified specialist in AI or Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.
Familiarity with cloud platforms (AWS, GCP, Azure) and their AI services.
Strong understanding of APIs, microservices architecture, and RESTful integration.
Excellent communication skills and ability to translate complex AI concepts for non-technical stakeholders.
Preferred Qualifications:
Experience with GenAI tools like OpenAI (GPT-4), Anthropic Claude, or Google Gemini.
Knowledge of prompt engineering and small language model (SLM) orchestration.
Experience integrating AI into SaaS or enterprise software products.
Background in data security, compliance, and AI ethics.
You will work closely with stakeholders across product, engineering, data science, and operations to identify opportunities for AI integration, manage implementation, and maintain AI systems post-deployment.
Key Responsibilities:
Collaborate with cross-functional teams to identify and prioritize opportunities for AI integration.
Evaluate and select appropriate AI/ML tools, APIs, and frameworks that align with business objectives.
Deploy and integrate AI models into production environments and existing systems (e.g., CRM, ERP, customer support platforms).
Develop automation workflows using AI tools (e.g., ChatGPT, Claude, Azure AI, Google Vertex AI).
Ensure data pipelines, model outputs, and integrations are reliable, secure, and scalable.
Translate business needs into technical requirements for AI systems.
Monitor, troubleshoot, and optimize deployed AI systems for accuracy, performance, and ethical alignment.
Maintain documentation and provide training or support to internal teams on AI tools and capabilities.
Stay current with AI trends, emerging technologies, and best practices.
Required Qualifications:
Certified specialist in AI or Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.
Familiarity with cloud platforms (AWS, GCP, Azure) and their AI services.
Strong understanding of APIs, microservices architecture, and RESTful integration.
Excellent communication skills and ability to translate complex AI concepts for non-technical stakeholders.
Preferred Qualifications:
Experience with GenAI tools like OpenAI (GPT-4), Anthropic Claude, or Google Gemini.
Knowledge of prompt engineering and small language model (SLM) orchestration.
Experience integrating AI into SaaS or enterprise software products.
Background in data security, compliance, and AI ethics.
Payment in Crypto