At a Glance
- Tasks: Research and develop AI models to automate SaaS interactions and improve API performance.
- Company: Join StackOne, a fast-growing startup backed by top investors like Google Ventures.
- Benefits: Enjoy 25 days holiday, private health insurance, and a £1,000 home office setup.
- Other info: Work in a dynamic environment with a hybrid setup and opportunities for career growth.
- Why this job: Be at the forefront of AI innovation in SaaS integrations and make a real impact.
- Qualifications: Bachelor's degree in Computer Science or 3+ years of relevant experience in AI.
The predicted salary is between 60000 - 80000 £ per year.
About Stack One
Stack One is the universal integration layer for modern Saa S 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 Open API specs.
Stack One sits behind the scenes as an embedded i Paa S: SOC 2 compliant, multi-tenant, and invisible to end users powering integrations for future-of-work Saa S categories such as HR, Compliance, and AI Agents.
Our customers are established B2B Saa S 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 Stack One.
We're building a world where users of any Saa S can integrate with the tool of their choice in one click thanks to Stack One.
We're convinced AI is pivotal to making this a reality by transforming how Saa S 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 & more generally Saa S interactions.
- Managing and updating 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 Stack One'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 Saa S 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 chose and work with the technologies you love. Our tech stack includes:
- Infra & monitoring: AWS (ECS, RDS, Elasticache, Lambda etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, Incident. io
- Languages & Frameworks: Typescript (Node. js), Nest JS, Rails, React, Svelte,
- Other day-to-day Tools: Postman, Notion, Slack, Jira, Github and more
- Product
- Stack One is one of the fastest-growing embedded integration platforms. Here's why:
- It drives down the cost of building integrations by 10x.
To add dozens of integrations, you only need to integrate once with our unified API and we take care of the rest.
This is way faster, cheaper, and more reliable than building every integration to each tool one at a time (it can take weeks/months per integration).
- It has a superior architecture: Unlike other Unified APIs, we developed an innovative, fully real-time architecture that does not store their customers' sensitive data by default.
This enables our customers to differentiate themselves on the market with better integrations: better for privacy, better for their product's user experience, and deeper read/write integrations.
- Stack One is a better long-term partner: We are the only integration platform to guarantee new integrations as standard, that offers so many sandboxes to support testing and deploying faster, and that has built a strong partnership ecosystem to enable our customers to develop stronger commercial partnerships.
Benefits
- 25 days holiday + 1 additional day holiday per year of tenure
- Participation in the company's employee share options plan
- Private health insurance (including dental & optical)
- Health, fitness and gift card discounts
- £1,000 for your home office set up + £500/year top-up
- Paid lunch in the office
- Annual team offsite to sunny spots (last ones were in Spain and Portugal )
- 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
- Cycle2Work and Electric Cars scheme
- Hybrid work set up - typically 2d in the office
Ready to help us change the game for Saa S 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.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer in Stoke-on-Trent
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We think you need these skills to ace Remote AI Engineer in Stoke-on-Trent
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Grabjobs.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Grabjobs and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Grabjobs
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Grabjobs uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
