Senior AI Engineer
A senior-level role for someone who doesn’t just use AI — they architect it, deploy it, and make it work in the real world.
We’re looking for a Senior AI Engineer to lead the design and integration of AI-powered systems across our marketing technology stack. You’ll work directly with the founder, embedding intelligent automation, LLM-driven workflows, and AI tooling into client campaigns and agency operations. This is a hands-on, high-ownership role with real scope to shape how AI is applied in a fast-growing digital agency.
$90–$140 per hour (based on experience) · Full-time contractor arrangement · Remote-first
Key Responsibilities
You’ll own the design, development, and deployment of AI systems across a growing portfolio of marketing clients — from LLM integrations and prompt engineering to automated pipelines and AI-assisted content workflows.
Architect and deploy production-ready AI systems that solve real marketing challenges.
- Design LLM-powered workflows using OpenAI, Anthropic, or equivalent APIs
- Build and maintain AI pipelines for content, data, and campaign automation
- Integrate AI tooling into CMS, CRM, and analytics platforms
- Evaluate and recommend new models and frameworks as the landscape evolves
Turn raw model capability into reliable, brand-consistent output at scale.
- Develop, test, and iterate prompt templates for client content use cases
- Apply RAG, chain-of-thought, and structured output techniques
- Fine-tune or adapt foundation models for specialist tasks where needed
- Implement quality-control layers to ensure consistent AI output standards
Reduce manual overhead and surface insight through intelligent automation.
- Build AI-assisted reporting and insight extraction tools
- Automate repetitive agency workflows using AI agents and orchestration tools
- Monitor system performance and flag model drift or degradation
- Document all systems clearly for team handover and client transparency
Skills & Attributes
We’re hiring for depth, not just familiarity. You should be able to point to AI systems you’ve built and shipped — not just experimented with in notebooks.
- 3+ years of hands-on AI/ML engineering with production deployments
- Strong proficiency with LLM APIs (OpenAI, Anthropic, Gemini or equivalent)
- Experience building RAG pipelines, AI agents, or multi-step LLM workflows
- Solid Python skills with relevant ML/AI libraries (LangChain, LlamaIndex, etc.)
- Demonstrated ability to ship AI systems end-to-end, not just prototype
- Clear written communication and ability to explain AI concepts to non-technical stakeholders
- Experience applying AI in a marketing, SEO, or content-driven environment
- Familiarity with vector databases (Pinecone, Weaviate, Chroma)
- Knowledge of fine-tuning workflows or RLHF techniques
- Prior experience in an agency or fast-paced client services environment
- Exposure to AEO (Answer Engine Optimisation) or AI search strategies
What You’ll Bring
Beyond the technical depth, this is what separates a great AI engineer from someone who just runs prompts.
Builder’s instinct You don’t wait for a perfect spec. You identify the problem, prototype a solution, and iterate until it works in the real world.
Rigorous thinking You understand when a model is hallucinating, when an eval is misleading, and when the simplest solution is the right one.
Relentless curiosity You follow model releases, read papers, test new tooling — and you can separate genuine signal from AI hype.
Plain-language communication You can walk a client through what their AI system does and why — without resorting to jargon or hand-waving.
Reliability under ambiguity You’re comfortable working in a fast-moving environment where requirements evolve and solutions need to adapt.
Commercial awareness You understand that the goal isn’t clever AI — it’s AI that drives measurable outcomes for real clients and real businesses.
Work Structure & Compensation
Full-time contractor role with agreed weekly hours. Flexible scheduling provided, with consistent availability expected across Australian business hours.
$90–$140 per hour depending on experience and the depth of AI systems you’ve shipped, with clear performance-based progression paths.
Opportunity to grow into a Head of AI role, shaping the agency’s entire AI practice as client demand for intelligent marketing systems continues to scale.
Application Process
Submit your resume, a brief cover note, and links to AI systems, tools, or projects that demonstrate what you’ve actually built and shipped.
A focused 45-minute video call to walk through your past AI projects, discuss architecture decisions, and assess your thinking on a real-world marketing AI challenge.
A short paid exercise to evaluate how you scope, build, and document an AI solution — from brief through to a working implementation.
How to Apply
Send your resume and a short written response addressing the following questions:
Describe an AI system you’ve built end-to-end. What was the problem, what did you build, and what was the measurable outcome?
How do you evaluate whether an LLM-powered feature is ready for production? What does your quality-control process look like?
Where do you think most companies get AI implementation wrong — and what do you do differently?
What AI tools, models, or papers have you been most interested in lately, and why?