AI Solutions Engineer

Role Overview

We are seeking an innovative AI Solutions Engineer to design, develop, and deploy intelligent AI-powered applications that enhance business operations and user experiences. In this role, you will build scalable AI solutions by integrating large language models (LLMs), developing robust APIs, and creating intuitive user interfaces.

What You Will Do

Review and analyse internal business processes, customer interactions, and operational workflows to identify opportunities for AI-driven automation, efficiency improvements, and enhanced customer experiences. Design and develop AI solutions that address operational challenges, with consideration for how they can be standardized, packaged, and deployed across multiple customers and industries.

Why It Might Be a Fit

The ideal candidate is a hands-on engineer who thrives in a fast-paced environment, rapidly prototypes ideas, iterates based on feedback, and builds production-ready AI applications on AWS using modern Python frameworks.

Requirements

• Demonstrated ability to analyse business processes and identify opportunities for automation, productivity improvements, and operational efficiencies.
• Experience designing AI solutions that balance technical excellence with practical business outcomes and can be scaled into reusable products or services.
• Strong customer and commercial awareness, with the ability to engage both technical and non-technical stakeholders to gather requirements and drive solution adoption.
• Proven experience in API development and integration for modern web applications.
• Strong front-end development skills with the ability to build intuitive, responsive user interfaces.
• Experience implementing Model Context Protocol (MCP) or similar AI integration frameworks.
• Hands-on experience working with multiple large language model (LLM) providers, such as OpenAI, Anthropic, or comparable technologies.
• Strong proficiency in Python, including Django, Flask, or FastAPI; experience with PHP/Laravel is an advantage.
• Experience designing, deploying, and managing applications on AWS cloud infrastructure.
• Experience integrating AI capabilities into existing business systems, including CRM platforms and enterprise applications.
• Familiarity with AI orchestration frameworks such as LangChain, Semantic Kernel, or similar technologies.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures and experience building AI knowledge bases using vector databases such as Pinecone, Weaviate, or equivalent.
• Ability to rapidly prototype, test, and iterate AI solutions based on stakeholder feedback.
• Strong analytical, problem-solving, and collaboration skills, with the ability to thrive in an agile development environment.

Benefits

• Competitive salary
• Flexible work arrangement
• Opportunity to work with a well-established Australian telecommunications solutions provider