Senior Software Engineer (LLMs)

Lookahead; Australia; On-site; AUD 100,000 - 150,000; Full time

Benefits offered by this job

Flexible work hours

Home office budget

Professional development program

Above market salary

Annual leave

Remote working

Job summary

Lookahead is seeking a Senior Software Engineer to enhance an ML product focused on legal document fact checking. As a part of a small and experienced team, you will have ownership of features and direct the product's development. Ideal candidates have extensive product development experience, familiarity with machine learning techniques (especially NLP and LLMs), and enjoy innovative environments. The position allows for remote work within Australia, offering a competitive salary and flexible work hours.

Qualifications

• Extensive experience working on product development.
• Experience with building a LLM feature in production.
• Up to date on the latest machine learning techniques.

Responsibilities

• Steer the direction of an ML product used for legal document fact checking.
• Own features and help guide product development.
• Work in a small, senior team of engineers.

Skills

Product development

Machine learning techniques

NLP & LLMs

Small team collaboration

AWS Bedrock

Hugging Face ecosystem

TypeScript

Front end experience

Job description

Use your product engineering and ML experience to help steer the direction of an ML product used for legal document fact checking.

• Remote working within Australia or hybrid in Melbourne
• Above market salary and annual leave & flexible work practices

The Company

Join a small, senior team of software engineers in a well funded company, reporting directly to the engineering co-founders. Own features and help steer the direct of our ML product used by companies in Australia and the UK. And work on a product that users love.

About You

You're a senior software engineer with extensive experience working on product development and who has worked on building a LLM feature in production. You're up to date on the latest machine learning techniques (in particular with NLP & LLMs). You enjoy working in small high performing teams and the impact that comes with working in an environment with some ambiguity. Familiarity with AWS Bedrock & Hugging Face ecosystem is a plus. TypeScript and front end experience is also a plus.

The offer

• Remote first company
• Flexible work hours (we value output over hours)
• Home office budget & professional development program