At a Glance
- Tasks: Research and develop AI models to automate processes and enhance integrations.
- Company: Join StackOne, a fast-growing tech company backed by top investors like Google Ventures.
- Benefits: Enjoy competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic team environment with significant career advancement potential.
- Why this job: Be at the forefront of AI innovation and transform how SaaS products connect.
- Qualifications: Experience in AI applications and familiarity with LLM models like GPT.
The predicted salary is between 60000 - 80000 £ per year.
About StackOne
StackOne is the universal integration layer for modern SaaS products. We’ve raised $24m in 2 years, and we’re backed by top tier investors like Google Ventures and Workday Ventures. Our unified API platform lets vendors ship hundreds of native, white label integrations in days, not months, by abstracting away dozens of disparate third party APIs into a single, normalized interface. On top of those APIs, we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs. StackOne sits behind the scenes as an embedded iPaaS: SOC 2 compliant, multi-tenant, and invisible to end users powering integrations for future-of-work SaaS categories such as HR, Compliance, and AI Agents.
Our customers are established B2B SaaS companies that:
- Sell to mid market and enterprise buyers
- Are building AI Agents in the near future
- Need deep, native integrations to win competitive deals and power their product
- Value time to integration over building connectors in house
We typically close OEM and embedded licensing deals, multi-year (1 to 3 year) contracts, five to seven figure TCV, with a strong land and expand model. Key buyer personas are the CPO and CTO.
About the role
We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT, Anthropic and others). In this role, you will conduct research and development around AI, focusing on automating processes and development at StackOne. We're building a world where users of any SaaS can integrate with the tool of their choice in one click thanks to StackOne. We're convinced AI is pivotal to making this a reality by transforming how SaaS talks to each other and this is what you will help achieve.
Responsibilities
- Research, design, and develop AI models using or training existing or bespoke LLM models (and other AI tech) to improve and automate API
Remote AI Engineer in Norfolk employer: StackOne
StackOne is an exceptional employer that fosters a dynamic and innovative work culture, where AI Engineers can thrive in a remote setting. With a strong focus on employee growth, we offer opportunities to work on cutting-edge AI technologies while collaborating with top-tier investors and industry leaders. Our commitment to a supportive environment ensures that every team member can contribute meaningfully to the future of SaaS integrations, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer in Norfolk
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at StackOne. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI or LLM models, make sure to highlight them. We love seeing practical examples of your work that align with what we do at StackOne.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AI applications and integration processes. We want to see your passion for transforming SaaS interactions and how you can contribute to our mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the StackOne team.
We think you need these skills to ace Remote AI Engineer in Norfolk
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can transform SaaS. Share any projects or experiences that highlight your skills with LLM models and how you envision using them at StackOne.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the specific requirements of the Remote AI Engineer role. Highlight relevant experiences and skills that align with our mission at StackOne, so we can see why you're a great fit!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary and avoid jargon unless it's relevant to the role.
Apply Through Our Website:We encourage you to apply directly through our website. This helps us streamline the process and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at StackOne
✨Know Your AI Models
Make sure you brush up on your knowledge of LLM models like GPT and Anthropic. Be ready to discuss how you've used these technologies in past projects, as well as any innovative ideas you have for applying them at StackOne.
✨Understand the SaaS Landscape
Familiarise yourself with the current trends in the SaaS industry, especially around integrations and automation. Knowing how StackOne fits into this landscape will show that you're genuinely interested in the role and the company.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common algorithms and data structures can give you a leg up.
✨Showcase Your Problem-Solving Skills
Think of examples from your previous work where you've tackled complex problems, especially in AI or API integration. Be ready to explain your thought process and how you arrived at your solutions, as this will highlight your analytical skills.
