About the Role

We are seeking an experienced AI Solutions Engineer to take ownership of the technical delivery of AI-powered solutions, automation, integrations, and internal AI operating systems. This role is ideal for a hands-on full-stack engineer who has moved beyond basic AI experimentation and has demonstrable experience building and deploying AI agents, tool-using systems, integrations, and production applications.

You will work closely with clients to assess technical feasibility, design solutions, build AI-powered applications, and take projects from initial blueprint through to production and ongoing optimisation. You will also help identify repeatable solutions and turn them into reusable modules that can be deployed across multiple client environments.

About the Client

You will be working with a specialist digital transformation consultancy that helps small and medium-sized businesses adopt AI operating systems, intelligent agents, and automation solutions. The organisation focuses on understanding how businesses operate and applying practical AI solutions to reduce repetitive work while maintaining appropriate human oversight.

The team operates with a strong focus on technical practicality, innovation, client outcomes, and responsible AI implementation, providing an opportunity to work directly on meaningful AI transformation projects across a variety of business environments.

Ideal Profile

AI & Agentic Development

4+ years of experience building and deploying LLM-powered applications beyond conversational chatbots.
Hands-on experience with AI agents, tool use, retrieval, structured outputs, prompt engineering, and context engineering.
Experience with Claude Code, Anthropic API, and multi-agent orchestration.
Strong understanding of MCP (Model Context Protocol) connectors and tool integration.
Ability to provide examples, repositories, demos, or production systems demonstrating work delivered.

Full Stack Engineering

Strong full-stack development experience using TypeScript/Node.js and React.
Experience with modern frameworks such as Next.js.
Strong experience with relational databases, particularly Supabase/PostgreSQL.
Experience deploying production applications using platforms such as Vercel.
Strong understanding of REST APIs, webhooks, authentication, and third-party integrations.
Experience working with Git-based development workflows and maintaining version-controlled production code.

Integrations & Platforms

Proven experience integrating third-party APIs, including systems with limited or poorly documented interfaces.
Experience integrating platforms such as Notion, Google Workspace, Stripe, Twilio, CRM, POS, and accounting systems is advantageous.
Experience with Microsoft Power Platform, including Power Automate, Power Apps, SharePoint, and Copilot Studio, or demonstrated ability to learn these technologies quickly.
Exposure to n8n, Make, or similar automation platforms is beneficial.

Technical & Business Analysis

Ability to assess unfamiliar systems and determine what is technically feasible.
Strong understanding of security, permissions, data handling, confidentiality, and governance.
Ability to estimate technical effort based on investigation rather than assumptions.
Strong problem-solving skills and sound technical judgement.

Client-Facing & Communication Skills

Excellent written and verbal communication skills.
Comfortable participating directly in client discovery and audit sessions.
Ability to explain technical concepts, limitations, and recommendations clearly to non-technical stakeholders.
Confident challenging assumptions and recommending alternative solutions when required.
Comfortable demonstrating solutions, receiving feedback, and adapting based on client requirements.
Strong ability to identify automation and AI opportunities beyond the initial client request.

Responsibilities

Technical Audits & Solution Design

Lead the technical component of client audits by assessing existing systems, platforms, integrations, data, access, and technical constraints.
Conduct systems inventories covering platforms, licensing, administration, costs, and technical dependencies.
Assess integration capabilities, including APIs, webhooks, exports, and system limitations.
Evaluate data quality, structure, accessibility, completeness, and interoperability across systems.
Conduct technical feasibility assessme

AI Solutions Engineer at Dijital Team Pty Ltd