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REDEFINING THE DIGITAL LANDSCAPE WITH OUR SERVICES

We know the world of tech is ever evolving and with the help of our full circle services we can help you establish your business online effortlessly.

Web Development

Design and development solutions for any channel

App Development

Making app development for your business a breeze

Software Development

Advanced software made simple for you

DevOps Consultancy

Consult with our experts, to enhance your processes

Cloud Services

For your databases, the sky is the limit

Our Creative Keys
We believe that 3 keys are essential when it comes to working with technology and mix of them results in creating a team of individuals that develop amazing tech.
A creative eye
Seamless deployment skills
Thinking outside the box
# Life is for service

Responding to your needs with helpful solutions

We ensure your business’ success by planning ahead. From an idea to a concept, we help you build a solid roadmap to make your vision a reality.

What sets us apart?

We help design, build, launch, and scale web, mobile applications and much more. Following an Agile approach, we are committed to creating innovative digital products from scratch.

Our unique process

When working on your element we think like your user. What would be the user wants and needs because ultimately they will be your users.

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Providing extraordinary services

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COMMUNICATION

Our team ensures to communicate all the possible options.

FULL CIRCLE

Everything you need to establish your business online, under one roof.

EXPERIENCED

We have handpicked our team who has years of expertise under their belt.

BUSINESS SAVVY

We understand business processes hence implement seamless services.

REPUTABLE

Our client reviews speak volumes for us.

QUALITY

We focus on return through results via uncompromising results.

Tech Stack

Innovative and reliable solutions developed with cutting-edge and diverse technologies

Frontend Development

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Angular

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MEAN.MERN Stack Development

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What Our Clients Say

We are proud of what we have built. Hear it yourself from some of our amazing clients
A website was needed to showcase our products. We worked closely with Triumph Tech to create a beautiful e-commerce website.
Ivan Glavish
Owner
They took their time to understand our needs and guided us every step of the way with their property-based web dev services.
Enio Lancuba
Director
We had an idea of how we wanted our app to look but the team from Triumph Tech gave life to it. Highly recommend their services!
Awais Ibrahim
CEO
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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