software engineer specialising in AI
Role details
Job location
Tech stack
Job description
We're looking for a software engineer specialising in AI to join our sustainability AI reporting team. You will be a technical leader in helping us build a world class AI tool for companies to manage and report on their progress in sustainability. You'll leverage LLMs, embeddings, and other AI technologies to deliver features to our customers, and help lay the technical foundations for AI at Watershed.
We are looking for this hire to be based in our HQ in London 4 days per week.
In this role you will :
Prototype, develop and iterate on a new product area for Watershed, giving our customers powerful AI tools for information extraction and report generation
Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
Collaborate with product and other AI engineering teams to set product and technical strategy
Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed, It starts the same for every candidate : getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.
Requirements
Experience building products using LLMs, embeddings and other ML technologies
Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies
Experience leading cross functional teams in an innovative fast moving environment
A strong foundational understanding of machine learning models and practice, including model evaluation and performance
Strong full-stack development skills
Must be willing to work from an office 4 days per week (except for remote roles)