Job Description

Tech Lead, Software Engineering (AI Product) | Fully Remote, Australia n

A venture-backed SaaS scale-up is hiring a hands-on tech lead to own the engineering behind its newest AI product. Its platform is already in use with large enterprise customers across several international markets.

The role n

You’ll take over technical direction of the product from a founder who is moving back into R&D; on what comes next. Expect about 80% of your time on the tools and 20% supporting and growing one mid-level engineer.

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You’ll work closely with a small product group covering design and product.

What you’ll do n

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- Set the technical direction for an AI product already in production. You’ll decide with product and design what gets built, how and in what order.
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- Build features end to end in TypeScript, from data models and APIs through to the interface.
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- Own the reliability of LLM features after launch. That covers evaluation datasets, regression testing, monitoring, cost and latency, and fixing things when model behaviour shifts.
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- Prototype new approaches quickly in Python and take the ones that work into production.
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- Mentor one engineer,



run regular one-to-ones, and help shape how the team grows.
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What you’ll bring nn
- 5+ years in software engineering, with a backend or full stack foundation. This is a software role first, not a data science or research role.
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- Robust production TypeScript, including database schema design and infrastructure, plus working Python.
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- LLM features you shipped and then kept improving in production. You should be able to explain how you measured quality, caught regressions and debugged failures.
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- Experience with LangChain, LangGraph or similar orchestration tooling, and deploying on AWS.
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- Experience setting technical direction, and an interest in mentoring. Formal people management is a bonus, not a requirement.
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- A track record of staying long enough to see a product evolve over time.
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- Based in Australia with full working rights.
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Nice to have nn
- Document extraction experience, such as parsing PDFs or spreadsheets into structured, verifiable output.
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- Previous experience working fully remote.
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