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AI Chatbot Development

Strengthen customer conversations with AI chatbots built around your business.
– AI Chatbot Development

AI Technologies Our Team Works With

As demand for chatbots continues to rise, businesses across industries are adopting AI-driven chat solutions to handle customer conversations, support requests, and routine queries. Chatbots help businesses respond faster, reduce manual effort, and stay available around the clock.

Our specialists focus on building AI chatbots that improve how businesses communicate with customers at every touchpoint.

– AI Chatbot

Custom AI Chatbot Development

End-to-End Chatbot Solutions

We deliver complete chatbot development services, from planning and design to deployment and ongoing support. Our AI-powered virtual assistants are built to engage users, answer questions, and assist customers 24/7.

Chatbot Design and Build

Every chatbot starts with understanding your business. We work closely with you to learn your brand voice, goals, and customer challenges, then design chatbots that reflect your identity and serve real business needs.

Multilingual Chatbots

Reach customers across regions with chatbots that communicate in multiple languages. Our multilingual solutions provide localised support and help businesses serve diverse audiences more effectively.

Chatbot Integration

We connect chatbots seamlessly across websites, mobile apps, and popular messaging platforms. Our integration approach ensures smooth communication and better coordination across your digital channels.

Natural Language Processing (NLP)

Using advanced Natural Language Processing, our chatbots understand user intent, handle complex questions, and deliver relevant, context-aware responses that resolve issues faster.

Chatbot Support and Maintenance

After launch, we keep your chatbot running smoothly with updates, improvements, and issue resolution. Our team monitors performance and makes adjustments to ensure consistent results.

Types of AI Chatbots We Build

AI Chatbot Engineering

Intelligent chatbots powered by machine learning and neural networks to
automate tasks, improve engagement, and support business growth.

AI Voice Assistants

Voice-enabled assistants that support natural, hands-free conversations using
speech recognition and AI.

Medical AI chatbots

Solutions designed to support patients and healthcare professionals with
consultations, workflows, and information access.

Legal Chatbots

Chatbots that assist with legal enquiries, document handling, and client
interactions for law firms and legal teams.

Social Media Chatbot

AI chatbots that respond to customer queries and engage audiences across
social platforms, day and night.

Vision-based chatbots

Advanced chatbots that use computer vision to interpret images and visual
inputs for smarter interactions.

Chatbot Services

Chatbot Deployment Across Platforms

Websites

Help visitors get answers, explore products, and complete actions directly on your site.

Social Media Channels

Support and engage followers automatically across popular social platforms.

E-commerce Stores

Assist shoppers with product discovery, order tracking, and returns.

Android Apps

Add in-app support, automation, and personalised assistance.

iOS Apps

Provide always-on customer support and smooth onboarding within your iOS applications.

Web Applications

Maintain performance with continuous updates, monitoring, and support.

AI Chatbot Development Technologies

We work with modern frameworks and platforms, including:

Angular

Laravel

React Js

Django

.NET

Contact us for more information and a free quotation

Contact Us

Job Description

Job Title: AI Engineer (Systems and Automation)
Location: On-site + Remote (Hybrid Australia)

About the Role

We are looking for an AI Engineer (Systems and Automation) who can build, deploy, and maintain robust AI systems while also designing automation solutions that streamline operations, product workflows, and decision-making. This role blends hands-on engineering, scalable system design, and practical automation using modern AI and MLOps practices.

Key Responsibilities:

AI Systems Engineering

  • Design, develop, and deploy end-to-end AI solutions—from prototype to production.
  • Build scalable, reliable ML pipelines for data ingestion, training, evaluation, and inference.
  • Implement monitoring for model performance, drift, latency, and reliability.
  • Optimize models and infrastructure for cost, speed, and accuracy.
  • Ensure security, privacy, and compliance across AI systems.

 

AI Automation Engineering

  • Identify business and technical processes that can be automated using AI.
  • Build AI-powered automation workflows using APIs, agents, orchestration tools, and event-driven architectures.
  • Develop integrations with internal tools (CRM, ERP, HRIS, support platforms, analytics stacks).
  • Create reusable components and templates to accelerate automation delivery.
  • Measure and report automation impact using clear KPIs.

 

Cross-Functional Delivery

  • Collaborate with Product, Data, Engineering, and Operations to scope and deliver AI initiatives.
  • Translate business needs into technical solutions with pragmatic trade-offs.
  • Document architectures, workflows, and operational runbooks.

 

Required Qualifications

  • 2–3+ years of experience in AI/ML engineering, automation engineering, or adjacent software roles.
  • Strong programming skills in Python (required); familiarity with TypeScript/Node.js is a plus.
  • Experience with model development using frameworks such as PyTorch, TensorFlow, or similar.
  • Solid understanding of the ML lifecycle, including feature engineering, training, evaluation, deployment, and monitoring.
  • Hands-on experience with MLOps practices and tools (CI/CD for ML, model registries, experiment tracking).
  • Experience integrating LLMs into real products or workflows (prompting, RAG, fine-tuning awareness, guardrails).
  • Strong system design skills and comfort working in cloud environments (AWS, GCP, or Azure).
  • Ability to troubleshoot production issues across data, model, and infrastructure layers.

 

Education

  • MS or BS in Artificial Intelligence, Machine Learning, Computer Science, Software Engineering, or a similar program.

 

Core Technical Skills

  • Data pipelines and orchestration (Airflow, Prefect, Dagster, or equivalents).
  • Serving and deployment (Docker, Kubernetes, serverless, REST/gRPC).
  • Observability and monitoring (logs, metrics, tracing; model drift and performance dashboards).
  • Datastores for AI workloads (SQL/NoSQL, vector databases).
  • API design and integration patterns.
  • Familiarity with responsible AI practices, evaluation frameworks, and safety controls.

 

Good to Have

  • AI research experience demonstrated through:
    • Publications, preprints, or thesis work.
    • Applied research projects in industry labs.
    • Contributions to open-source AI libraries.
  • Experience with multi-agent systems, tool-using LLMs, or advanced RAG architectures.
  • Experience in process automation platforms or iPaaS tools.
  • Exposure to regulated or high-compliance environments.

 

What Success Looks Like

  • Delivery of production-grade AI systems that are observable, reliable, and cost-efficient.
  • Implementation of automation opportunities that measurably reduce cycle time or operational load.
  • Contribution to best practices for AI governance, deployment, and lifecycle management.

 

What We Offer

  • Competitive compensation and benefits.
  • A high-ownership environment with real-world AI impact.
  • Opportunities to shape AI architecture, automation strategy, and engineering standards.

 

Equal Opportunity

We are an equal opportunity employer and value diversity in backgrounds, experiences, and perspectives.

Special Note: Agencies not applicable
Salary Range: $80K + Super