At a Glance
- Tasks: Lead the engineering of an innovative AI product and mentor a growing team.
- Company: Venture-backed SaaS scale-up with a focus on cutting-edge technology.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a fast-paced environment with a chance to make a real impact.
- Why this job: Shape the future of AI while working with a dynamic and collaborative team.
- Qualifications: 5+ years in software engineering with strong TypeScript and Python skills.
The predicted salary is between 135000 - 165000 $ per year.
Tech Lead, Software Engineering (AI Product) | Fully Remote, Australia
A venture-backed Saa S 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
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.
You’ll work closely with a small product group covering design and product.
- What you’ll do
- 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.
- Build features end to end in Type Script, from data models and APIs through to the interface.
- 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.
- Prototype new approaches quickly in Python and take the ones that work into production.
- Mentor one engineer, run regular one-to-ones, and help shape how the team grows.
- What you’ll bring
- 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.
- Strong production Type Script, including database schema design and infrastructure, plus working Python.
- 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.
- Experience with Lang Chain, Lang Graph or similar orchestration tooling, and deploying on AWS.
- Experience setting technical direction, and an interest in mentoring. Formal people management is a bonus, not a requirement.
- A track record of staying long enough to see a product evolve over time.
- Based in Australia with full working rights.
- Nice to have
- Document extraction experience, such as parsing PDFs or spreadsheets into structured, verifiable output.
- Previous experience working fully remote.
- #J-18808-Ljbffr
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