About the role

Are you a Python engineer with a passion for generative AI? Do you dream of building something extraordinary and seeing it make a real impact at leading companies? We’re looking for someone like you – an ambitious coder who thrives on innovation, rapid growth, and tackling big challenges in a fun, supportive environment.

As a mid-level Python Engineer (Generative AI) at Enterprise AI Group, you’ll work at the intersection of software development and machine learning. Your code will directly contribute to our intelligent SaaS platform, helping major organisations harness AI to drive efficiency, enhance customer engagement, and turn data into actionable insights. In short, you’ll play a key role in our mission to bring AI into real-world workflows quickly and safely, transforming how businesses operate with cutting-edge tech.

What you'll be doing

Full-time, 5 days onsite (Martin Place, Sydney). We iterate face-to-face to outpace competitors.

Build new features and RESTful APIs using Python (FastAPI) to expand our generative AI platform’s capabilities.

Develop and fine-tune AI-driven services using large language models.

Leverage Azure’s AI ecosystem: integrate Azure OpenAI, Cognitive Search, and data services into our products, and connect our platform with client systems via APIs.

Optimise our AI pipelines for scalability: work with MongoDB/Cosmos DB and vector databases to handle big data efficiently.

Collaborate closely with a tight-knit team of engineers and data scientists, rapidly prototyping ideas (Monday brainstorm to Friday demo is how we roll!) and delivering improvements that wow our customers.

What we're looking for

Must-haves:

Strong Python skills: You’ve built backend applications or APIs (FastAPI or similar) and can write clean, efficient code.

AI/ML enthusiasm: Hands-on experience with machine learning or generative AI (NLP, large language models) – you’ve maybe played with GPT APIs and can show us your projects in Github

Problem-solving mindset: Love tackling complex problems and debugging; you’re logical, curious, and resourceful.

Team player: Great communication skills and collaborative spirit – you thrive in a team, sharing ideas and building solutions together.

BS/MS in CompSci (or equivalent experience): A solid foundation in CS principles and the ability to learn new tech quickly.

Nice-to-haves:

Node.js or Full-Stack: Some experience with Node or front-end frameworks (React/Next.js) – we appreciate versatility.

Azure/cloud experience: Familiarity with Azure AI Services, Azure ML, or cloud infrastructure (Azure DevOps, Bicep/Terraform) is a big plus.

Search/DB expertise: Experience with search engines or graph/vector databases for semantic search.

Certifications: Azure or AI certifications, or any cool open-source AI projects you’ve contributed to – show off your passion!

What we offer

Salary: A$95K – A$120K + ESOP (employee stock ownership plan).

Career growth: Fast-track progression in a scaling startup – we’ll support your development into senior roles as we grow.

Culture & Diversity: A dynamic, fun, inclusive workplace – no egos, no old-school corporate vibe. We celebrate diversity and everyone’s ideas matter.

Tech & Innovation: Work with the latest tech (see Our Tech Stack below) on challenging projects. Your ideas turn into features without red tape – ideas on Monday, prototypes by Friday is how we operate.

Impact: Your decisions power mission-critical AI workflows for tier-one clients. You’ll see the direct results of your work in real businesses every day.

Speed & support: Quick, candidate-friendly hiring process (we won’t leave you hanging). Expect mentorship, hackathons, and a team that’s got your back from day one.

Our Tech Stack

Backend: Python, FastAPI

Databases & AI: MongoDB, Cosmos DB, vector & graph DBs

Cloud: Azure (everything)

Frontend: Next.js, TypeScript, PayloadCMS

About us

Enterprise AI is a Sydney-based AI startup delivering cutting-edge generative AI solutions on a SaaS platform so clients get results fasterau.linkedin.com. We bridge AI theory with real-world impact, helping enterprises stay ahead of the competition with data-driven, scalable technology. Founded in 2024, we’re already partnering with major players (like Microsoft) and serving government and top-tier industries with our AI products. Our team culture is high-energy, collaborative, and innovative – we move fast, learn faster, and have fun doing it.

Ready to lead the next AI success story? Send your CV or LinkedIn profile to [email protected] – we reply within 48 hours.