At a Glance
- Tasks: Provide technical expertise and support during sales presentations and product demonstrations.
- Company: Join Xinference, a fast-growing AI infrastructure company with a vibrant culture.
- Benefits: Enjoy a fully remote role with flexible work-life balance and growth opportunities.
- Other info: We value diverse backgrounds and encourage passionate tech enthusiasts to apply.
- Why this job: Be at the forefront of AI technology and make a real impact in a dynamic environment.
- Qualifications: 3+ years in Sales Engineering or DevOps, with programming skills in Java, Python, or similar.
The predicted salary is between 60000 - 80000 £ per year.
Work Arrangement: Fully Remote
About the Company:
Xinference is a fast-growing AI infrastructure company building next-generation model inference and agent-building infrastructure. Our platform empowers developers and enterprises to deploy, orchestrate, and scale AI models on their own private infrastructure — with unprecedented speed, efficiency, and control over their data. With 8,000+ GitHub stars, 2,000+ global deployments, and a rapidly expanding open-source community, we are building a global go-to-market presence across Australia, Singapore, and Southeast Asia. Events and community are at the heart of how we grow — and this role is central to that mission.
About the job:
As an AI Solutions Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.
At Xinference, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our team members can create a work-life harmony that best fits them.
What You'd Do:
- Partner with the Sales team to articulate the overall Xinference value proposition, vision and strategy to customers.
- Own technical engagement with customers during the trial phase. Communicate Xinference’s value based on activities and work with customers on any identified issues or concerns to successful conclusion.
- Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility.
- Deliver product and technical briefings / presentations to potential clients.
- Maintain accurate notes and feedback in CRM regarding customer input both wins and losses.
- Proactively engage and communicate with customers and Xinference business/technical teams regarding product feedback and competitive landscape.
Who You Are:
- Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer.
- Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering.
- Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
- Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role.
- Able to sit up to 4 hours, traveling to and from client sites.
- Able to travel via auto, train or air up to 45% of the time.
Xinference values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
AI Solutions Engineer (Fully Remote) in London employer: Xinference
At Xinference, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture, where creativity and collaboration thrive. As a fully remote company, we offer our employees the flexibility to achieve work-life harmony while engaging in meaningful projects that drive innovation in AI infrastructure. With ample opportunities for professional growth and a supportive community, Xinference is the perfect place for passionate individuals looking to make a significant impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer (Fully Remote) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and engage with communities on platforms like LinkedIn. The more connections you make, the better your chances of landing that AI Solutions Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your programming projects, especially those related to AI or DevOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the latest trends in AI infrastructure. Practice common interview questions and be ready to demonstrate your problem-solving abilities during the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Xinference.
We think you need these skills to ace AI Solutions Engineer (Fully Remote) in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and technology shine through. We want to see that you’re genuinely excited about the role and how you can contribute to our mission at Xinference.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight relevant experience and skills that match the job description. We love seeing how your background aligns with what we’re looking for in an AI Solutions Engineer.
Be Clear and Concise:Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. This will help us understand your qualifications and fit for the role quickly.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at Xinference
✨Know Your Tech Inside Out
As an AI Solutions Engineer, you'll need to showcase your technical expertise. Brush up on the programming languages mentioned in the job description, like Python or Java, and be ready to discuss how you've used them in past projects. This will help you demonstrate your credibility and technical skill during the interview.
✨Understand Xinference's Value Proposition
Make sure you can articulate Xinference’s value proposition clearly. Research their platform and think about how it empowers developers and enterprises. Be prepared to discuss how you would communicate this value to potential clients, especially during the trial phase.
✨Prepare for Real-World Scenarios
Expect to tackle real-world scenarios during your interview. Think of examples where you've successfully closed complex opportunities or resolved customer issues. This will show your problem-solving skills and ability to engage with customers effectively.
✨Show Your Passion for Customer Education
Since the role involves educating customers on observability risks, be ready to share your thoughts on how you would approach this. Discuss any previous experiences where you’ve helped clients understand technical concepts, as this will highlight your communication skills and passion for the role.
