AI Engineer

Kaliba

Sydney

On-site

AUD 150,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Flexible technology choices

Competitive package with performance bonuses

Job summary

A technology firm in Sydney is seeking a Mid-Senior AI Engineer to develop production-grade AI solutions. You will build conversational AI and workflow automation tools, optimize RAG pipelines, and engage in a flexible environment that fosters experimentation. The role offers a competitive salary of A$150,000 - A$170,000 per year plus bonuses.

Qualifications

Experience in building production-grade AI solutions.
Ability to work with CI/CD and monitor model performance.
Experience shipping LLM-based tools into production.

Responsibilities

Develop production-grade AI solutions such as conversational AI.
Optimize RAG pipelines using LLMs and vector databases.
Translate architecture designs into robust, maintainable code.

Skills

Software Engineering

Machine Learning

RAG architectures

DevOps

CI/CD

Education

3-5+ years in software or ML engineering

Tools

LLMs

Vector databases

Job description

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This range is provided by Kaliba. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

A$150,000.00/yr - A$170,000.00/yr

Direct message the job poster from Kaliba

Connecting top talent to Global Software Vendors in APAC

Do you want to take AI beyond flashy prototypes and into production systems that actually change how organisations operate?

Are you the kind of engineer who thrives on turning bleeding-edge ideas into robust, scalable tools?

Do you want the freedom to experiment and the mandate to deploy?

If you’re nodding along, this might be the role where you do your best work.

This team helps forward-thinking businesses leap from “AI curiosity” to AI-driven operations. That means delivering conversational AI, autonomous agents, and workflow automation tools that don’t just demo well — they deliver measurable impact.

Here, your ideas move quickly from whiteboard to production. No endless sign-offs. No MVPs gathering dust. Just real-world systems, deployed at scale, making a difference.

What you’ll be building:

Production-grade AI solutions – Conversational AI, autonomous agents, workflow automation
Optimised RAG pipelines – Using LLMs and vector databases for high-relevance, low-latency results
Systems that stick – Translating architecture into robust, maintainable code
Integrated intelligence – Connecting models, APIs, databases, and platforms seamlessly
Deployment excellence – CI/CD, model performance monitoring, zero-surprise rollouts
Scalable solutions – Tackling latency, versioning, and scaling challenges head-on

Tech stack you’ll play with:

You’ll thrive here if you:

Have 3–5+ years in software or ML engineering
Have shipped LLM-based tools or agent workflows into production
Understand RAG architectures, vector search, and prompt engineering deeply
Are confident with DevOps and CI/CD
Can solve problems autonomously but collaborate when it counts
Have experience in consulting, SaaS, or product delivery

Why this role stands out:

You’ll work at the frontier of applied AI — not just read about it
Small team = big impact + fast decision-making
Projects move from idea to deployment in weeks, not quarters
Flexibility to choose the right tech for the job
Competitive package with performance upside – up to $170k base + Super + Bonus!!

If you’re ready to build AI systems the world actually uses, we’d love to see what you’ve created.

Apply now — let’s see what we can build together.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
IT Services and IT Consulting

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