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 harmony 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 City of London employer: Xinference
At Xinference, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture, even in a fully remote setting. Our commitment to employee growth is evident through our emphasis on continuous learning and the opportunity to engage with a vibrant open-source community, making it a rewarding environment for those passionate about AI technology. With a focus on work-life harmony and a diverse team, we empower our employees to thrive both personally and professionally while contributing to cutting-edge advancements in AI infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer (Fully Remote) in City of London
✨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 Xinference 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 Xinference.
✨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 Xinference.
✨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 Xinference 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 AI Solutions Engineer (Fully Remote) in City of London
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 Xinference.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Xinference 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 Xinference
✨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 Xinference 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.
