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For Companies At a Glance
- Tasks: Develop and deploy cutting-edge AI algorithms that redefine Intellectual Property.
- Company: Fast-growing startup transforming the IP landscape with innovative AI solutions.
- Benefits: Competitive salary, equity, free meals, and private medical insurance.
- Why this job: Join a dynamic team and make a real impact in the AI revolution.
- Qualifications: Expertise in Python, production experience, and mastery of LLMs required.
- Other info: Work directly with AI PhDs and elite engineers in a high-energy environment.
The predicted salary is between 36000 - 60000 £ per year.
At Solve Intelligence, we aren’t just using AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company.
The Role: AI Engineer
We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast. You will lead the development of algorithms that push the envelope of what is possible with LLMs.
What you’ll own:
- Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents.
- SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D.
- Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy.
- Full-Stack Impact: While focused on AI, you’ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience.
About Solve Intelligence
We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation.
Growth: 20-30% MoM revenue growth; selling to 300+ global IP teams (DLA Piper, tech giants, and boutiques).
Impact: Users report 50-90% efficiency improvements.
Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Insight Partners, Y Combinator, and HOF Capital.
Co-Founders & Team
You will work directly with a founding team of AI PhDs and elite engineers:
- Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired).
- Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute.
- Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).
Who You Are
We are a young company of highly motivated "hackers" building at a relentless pace.
- Speed is your default: You want to put things in the hands of customers in days, not months.
- You are a grinder: You have a strong work ethic and are willing to go the extra mile (long nights/weekends) to achieve excellence.
- You are an optimist: You thrive in a high-energy, positive environment and take extreme ownership of your outcomes.
What You Bring
Must-Haves:
- Expert Python Skills: Deep experience building and shipping AI solutions.
- Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments.
- LLM Mastery: Practical experience with prompt engineering and modern LLM architectures.
- Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React).
- Clear Communication: Ability to articulate complex technical decisions clearly.
Nice-to-Haves:
- Publications at top ML conferences (NeurIPS, ICLR, ICML).
- Familiarity with frameworks like OpenAI Evals.
- A history of interesting GitHub contributions or "impressively difficult" side projects.
What We Offer
- Competitive Salary + Significant Equity: We want you to have true ownership in our success.
- Growth: Opportunity to work with a world-class team on a genuine rocket ship trajectory.
- Support: Full visa sponsorship and private medical insurance.
- The Goods: Free meals and a high-performance office culture in London.
Ready to build the future of AI? Apply now.
AI Engineer in Slough employer: Solve Intelligence
Contact Detail:
Solve Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those at Solve Intelligence. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and contributions. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and LLM knowledge. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace AI Engineer in Slough
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any experience you have with AI solutions. We want to see how you've tackled challenges in the past, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for the AI Engineer role. Mention specific algorithms or technologies you've worked with that align with what we’re doing at Solve Intelligence. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your experiences and technical decisions. We appreciate clear communication, especially when it comes to complex topics.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team!
How to prepare for a job interview at Solve Intelligence
✨Know Your Algorithms
Make sure you brush up on the latest algorithms and techniques in AI, especially those related to LLMs. Be ready to discuss your past experiences with developing and deploying algorithms, as well as any challenges you faced and how you overcame them.
✨Showcase Your Projects
Prepare to talk about your GitHub contributions or any side projects that demonstrate your skills in Python and prompt engineering. Highlight specific examples where your work made a significant impact, especially in production environments.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. The interviewers will appreciate your ability to articulate your thought process and decisions clearly, especially when discussing your approach to building evaluation pipelines.
✨Emphasise Your Work Ethic
Be ready to share examples of times when you went the extra mile to achieve excellence. This could be long nights spent debugging or weekends dedicated to pushing a project forward. Show them that you thrive in a fast-paced environment and are committed to delivering results quickly.
