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For Companies At a Glance
- Tasks: Join us as a Founding Engineer to build cutting-edge AI infrastructure.
- Company: We're a VC-funded startup revolutionising AGI with a passionate team and $30m in funding.
- Benefits: Enjoy remote work, a salary up to $300k, equity, and exciting startup perks.
- Why this job: Be part of an innovative team shaping the future of AI with real impact.
- Qualifications: 5+ years in AI, experience in startups, and a passion for the latest technologies required.
- Other info: Opportunity to join the team in San Francisco with visa support available.
Do you have a solid AI Research background? Do you have experience working in an AI startup, building it from the ground up? Are you up to date with the latest in AI?
The challenge
We’re a VC funded startup in the AGI space, having raised $30m pre-seed funding with a team of 10, and some truly heavyweight supporters. We’re creating a platform for multi-agent systems to work seamlessly with each other. We’re taking the latest research in Agentic AI and distributed systems to create the infrastructure for agents to be autonomous and accountable. You’d be working remotely, but we’d love for you to join the team in San Francisco (we can arrange a visa for you).
About you
You’ll be an expert in AI, having worked for at least 5 years in the sector, with experience in an early-stage AI startup and have a genuine passion for AI technologies. You’ll have experienced several use cases (fails and successes), up to date with the latest research in AI and an entrepreneurial mindset.
What we are looking for is someone with:
- A background in Research (PhD desirable)
- At least 3 years’ commercial experience of hands-on developing PoCs, training and deploying AI models
- Experience with launching and scaling AI products
- At least 2 years’ experience in an early-stage startup
- Experience fine-tuning some of the more recent LLMs (OpenAI, Anthropic, Claude, LLaMA, Mistral etc.)
- Up to date with current research in AI
Benefits
The role will be fully remote, with the team being based in San Francisco. There’s a salary of up to $300k with equity, along with startup perks.
Interested? If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following:
Email me at
Call me on 02037736498
Founding Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer
✨Tip Number 1
Network with professionals in the AI field, especially those who have experience in startups. Attend AI conferences or meetups to connect with potential colleagues and mentors who can provide insights into the company culture and expectations.
✨Tip Number 2
Stay updated on the latest advancements in AI research and technologies. Follow key publications, blogs, and thought leaders in the AI space to ensure you can discuss current trends and innovations during interviews.
✨Tip Number 3
Prepare to showcase your hands-on experience with AI models. Be ready to discuss specific projects where you've developed PoCs or scaled AI products, highlighting your role and the impact of your work.
✨Tip Number 4
Demonstrate your entrepreneurial mindset by sharing examples of how you've navigated challenges in previous roles. Discuss any innovative solutions you've implemented that align with the startup's goals and vision.
We think you need these skills to ace Founding Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AI research background and relevant experience in early-stage startups. Focus on specific projects where you developed PoCs or deployed AI models, and quantify your achievements where possible.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI technologies and your entrepreneurial mindset. Mention your familiarity with the latest research and how it aligns with the company's mission in the AGI space.
Showcase Relevant Experience: When detailing your work history, emphasise your hands-on experience with launching and scaling AI products. Include examples of fine-tuning recent LLMs and any successes or lessons learned from previous roles.
Highlight Your Research Background: If you have a PhD or significant research experience, make sure to elaborate on this in your application. Discuss any publications or projects that demonstrate your expertise in AI and how they relate to the role.
How to prepare for a job interview at MBN Solutions
✨Showcase Your AI Expertise
Make sure to highlight your solid background in AI research and any relevant projects you've worked on. Be prepared to discuss specific use cases where you've successfully developed or deployed AI models, as this will demonstrate your hands-on experience.
✨Demonstrate Startup Experience
Since the role is in an early-stage startup, share your experiences from previous startups. Talk about the challenges you faced and how you contributed to launching and scaling AI products, as this will show your entrepreneurial mindset.
✨Stay Current with AI Trends
Be ready to discuss the latest advancements in AI, particularly in areas like Agentic AI and distributed systems. Showing that you're up-to-date with current research will reflect your passion for the field and your commitment to continuous learning.
✨Prepare for Technical Questions
Expect technical questions related to fine-tuning recent LLMs and other AI technologies. Brush up on your knowledge of models like OpenAI, Anthropic, and Claude, and be prepared to explain your approach to developing proofs of concept (PoCs) and training AI models.
