At a Glance
- Tasks: Research and develop AI models to automate SaaS interactions and improve API performance.
- Company: Join StackOne, a fast-growing tech startup backed by Google Ventures.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic startup culture with freedom to choose your tech stack.
- Why this job: Be at the forefront of AI innovation and transform how SaaS products integrate.
- Qualifications: Experience with AI and LLM models; strong problem-solving and collaboration skills.
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 & more generally SaaS 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 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
Remote AI Engineer in Salford employer: StackOne
At StackOne, we pride ourselves on being an innovative employer that champions creativity and collaboration in the fast-paced world of AI and SaaS integration. Our remote work culture fosters flexibility and autonomy, allowing you to thrive while contributing to groundbreaking projects that redefine how software interacts. With a strong focus on employee growth, we offer opportunities for continuous learning and development, ensuring that you can advance your career while making a meaningful impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer in Salford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at StackOne or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to StackOne.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like StackOne.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like StackOne that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Remote AI Engineer in Salford
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 StackOne.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at StackOne 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 StackOne
✨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 StackOne 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.
