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For Companies At a Glance
- Tasks: Develop and optimise AI models to enhance SaaS integrations and automate processes.
- Company: Join a rapidly growing startup revolutionising SaaS integrations with innovative technology.
- Benefits: Enjoy flexible work, generous holiday, health insurance, and a home office setup budget.
- Why this job: Be part of a dynamic team transforming the SaaS landscape with cutting-edge AI solutions.
- Qualifications: Bachelor's degree in Computer Science or 3+ years of relevant experience in AI and SaaS.
- Other info: Work alongside industry veterans from top tech companies and participate in employee share options.
The predicted salary is between 36000 - 60000 £ per year.
About Us
We are developing a next-gen integration platform that allows SaaS businesses of any size to integrate their product with third-party products in a fast, powerful, and secure way. Our vision is to solve the challenges of making great integrations, which are still too expensive and slow.
About the role
We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications and experience with LLM models (e.g., GPT, Anthropic, and others). In this role, you will conduct research and development around AI, focusing on automating processes and development at StackOne.
Responsibilities
- Research, design, and develop AI models using or training existing or bespoke LLM models (and other AI tech) to improve and automate API & more generally SaaS interactions.
- Manage and update Data pipelines used for AI use-cases.
- Collaborate with cross-functional teams to identify opportunities for AI integration and automation.
- Optimize and refine existing AI models and applications for performance and scalability.
- Stay current with advancements in AI and LLM technologies, applying new knowledge to StackOne's AI strategy.
- Implement best practices in AI development, ensuring compliance with data privacy and security regulations.
- Document and communicate research findings and development progress to stakeholders.
- Collaborate with other software & AI engineer(s) to deliver larger scale projects.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field (or 3+ years of relevant experience).
- Familiarity with API development, integration, and SaaS platforms.
- Past experience with AI, specifically Large Language Models and related technologies.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Desire to work in a fast-paced, dynamic startup environment.
Preferable:
- You’re familiar with Typescript.
- You’ve deployed or managed infrastructure on AWS.
Our Stack
You will have a lot of freedom and agency to choose and work with the technologies you love. Our tech stack includes:
- AWS (ECS, RDS, Elasticache, Lambda, etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, Incident.io.
- Typescript (Node.js), NestJS, Rails, React, Svelte.
- Postman, Notion, Slack, Jira, Github, and more.
Product
StackOne is one of the fastest-growing embedded integration platforms, driving down the cost of building integrations by 10x. To add dozens of integrations, you only need to integrate once with our unified API.
Why join us?
- Join one of Europe’s fastest-growing startups.
- Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan, and more.
- Participation in the company’s employee share options plan.
- 25 days holiday + 1 additional day holiday per year of tenure.
- Flexible work setup - we’re hybrid-friendly.
- £1,000 for your home office set up + £500/year top-up.
- Cycle2Work and Electric Cars scheme.
- Private health insurance (including dental & optical).
- Health, fitness, and gift card discounts.
- Annual team offsite to sunny spots (last ones were in Spain and Portugal).
Ready to help us change the game for SaaS integrations? Get in touch and let’s chat! We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.
AI Engineer employer: Story Terrace Inc.
Contact Detail:
Story Terrace Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and LLM technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the AI and SaaS industries. Attend relevant meetups or webinars where you can connect with current employees or industry experts. This could provide you with insider information about the company culture and expectations.
✨Tip Number 3
Demonstrate your problem-solving skills by preparing examples of past projects where you've successfully implemented AI solutions. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your analytical abilities.
✨Tip Number 4
Stay updated on the competitive landscape of integration platforms. Understanding what sets StackOne apart from its competitors will enable you to articulate why you're excited about joining us and how you can contribute to our mission.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI, particularly with Large Language Models. Include specific projects or roles where you've developed or optimised AI applications, as this will resonate with the company's focus.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can transform SaaS integrations. Mention your familiarity with the technologies listed in the job description, such as Typescript and AWS, to show you're a great fit.
Showcase Relevant Projects: If you have any personal or professional projects that demonstrate your skills in AI and API development, include them in your application. This could be through a portfolio link or a brief description in your CV.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your communication and collaboration abilities. Provide examples of how you've successfully worked in teams to achieve project goals.
How to prepare for a job interview at Story Terrace Inc.
✨Showcase Your AI Knowledge
Make sure to brush up on your understanding of AI, particularly Large Language Models. Be prepared to discuss your past experiences with these technologies and how they can be applied to improve SaaS integrations.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Practice articulating your thought process when solving problems, as this will showcase your analytical skills and ability to think on your feet.
✨Familiarise Yourself with Their Tech Stack
Take some time to learn about the technologies mentioned in the job description, such as AWS, Typescript, and various frameworks. Being able to discuss these tools will show your genuine interest in the role and readiness to contribute.
✨Prepare Questions for Them
Interviews are a two-way street. Prepare insightful questions about their AI strategy, team dynamics, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
