Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as an AI Engineer to innovate and develop cutting-edge Generative AI solutions.
- Company: Curvestone AI is a tech company creating real-world AI solutions for professionals.
- Benefits: Enjoy remote work flexibility, a collaborative culture, and opportunities for continuous learning.
- Why this job: Be part of a fast-paced startup that values creativity and teamwork in AI innovation.
- Qualifications: Ideal candidates should have a background in AI, software engineering, and strong communication skills.
- Other info: We celebrate diversity and are committed to equal opportunity for all applicants.
The predicted salary is between 30000 - 42000 ÂŁ per year.
Join to apply for the AI Engineer (Hybrid – London) role at Curvestone AI
Join to apply for the AI Engineer (Hybrid – London) role at Curvestone AI
Curvestone is a technology company building real-world AI solutions for professionals. We’re the team behind WorkflowGPT – a secure, modular platform that helps law firms, financial institutions, and other enterprises automate and streamline complex workflows with generative AI. We are a remote-first company headquartered in Holborn, London, andwith team members across Poland.
Who we are looking for
Curvestone is looking for an AI Engineer to expand our AI innovation & delivery capacities and help us address real world client problems . We currently have a particular focus on language-based Generative AI, and therefore we are looking for someone with knowledge and experience in this space. Specifically, we need someone to help with the entire AI capability lifecycle, i.e., identify relevant new AI capabilities, present ideas to the product team, facilitate internal learning / understanding, contribute to the product roadmap, prototype these capabilities, and spec, develop, and maintain production-level AI features (in collaboration with software engineers and the wider product team).
This person will collaborate with consultants, engineers, designers, product specialists, and sales people to take solutions from ideation through deployment to value!
This opportunity is for an AI Engineer who is happy to work either remote or hybrid in London as part of a remote-first, highly collaborative, fast moving, tech scale-up.
What you’ll do
- Stay at the forefront of Generative AI capabilities, and identify those relevant to our product, WorkflowGPT, and based on real client use cases.
- Prototype new Generative AI capabilities, and present relevant new capabilities to the wider team for consideration in the product roadmap
- Spec, develop, and maintain production-level Generative AI features (in collaboration with software engineers)
- Facilitate internal learning / understanding so that the wider team (from engineering to sales) understand the new Generative AI capabilities
- Support sales, by demonstrating solutions to client use cases based on existing WorkflowGPT capabilities
- Contribute to the continuous improvement of AI innovation and delivery capacities within the organisation.
- Work remotely as part of a remote-first startup, actively engaging in a highly collaborative and fast-moving environment.
Skills, Experience, and Mindset
An ideal candidate would have most of these,
- Proficient in researching, prototyping, and implementing algorithms (AI or otherwise)
- Experience working in an engineer software engineering team
- Strong interest in Generative AI
- Good knowledge and experience in Generative AI concepts (e.g. prompt engineering, RAG, agents, fine-tuning, etc), and tools (e.g. LangChain, LangSmith, LangGraph, etc)
- Well-rounded ML knowledge (i.e. not just generative AI)
- Proficiency in data science tools and techniques, e.g. numpy, Pandas, scikit-learn, notebooks, streamlit, etc
- Strong interpersonal and communication skills in English, both written and verbal
- Experience working in a fast-moving product company
- Experience with Data Engineering tools & techniques, e.g. Databricks, Spark, Azure Data Factory, Kafka, etc, and distributed systems in general
- BSc/MSc in Computer Science, Physics, Mathematics, Engineering, or similar field
- Passionate about technology, product, user experience and building high quality solutions.
- Collaborative mindset with the ability to work effectively with consultants, engineers, designers, and product specialists.
At Curvestone we don’t just accept differences,we celebrate it, we support it, and we thrive on it for the benefit of our employees, our clients and our services. We are an equal opportunity employer and all qualified applicants will receive equal consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, marital status, national origin, physical or mental disability, race, religion, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable adjustments due to a disability during the application or interview process please let us know and we will be pleased to assist.
Seniority level
-
Seniority level
Entry level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
Software Development
Referrals increase your chances of interviewing at Curvestone AI by 2x
Sign in to set job alerts for “Artificial Intelligence Engineer” roles.
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 4 days ago
Peterborough, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 months ago
London, England, United Kingdom 3 weeks ago
Research Engineer, ML, AI & Computer Vision
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 4 days ago
Machine Learning Scientists and Engineers: AI for Quantum
London, England, United Kingdom 3 months ago
London, England, United Kingdom 3 weeks ago
Graduate Software Engineer – ML Data Platform
Greater London, England, United Kingdom ÂŁ40,000.00-ÂŁ70,000.00 15 hours ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 6 months ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 17 hours ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 months ago
London, England, United Kingdom 4 months ago
London Area, United Kingdom ÂŁ90,000.00-ÂŁ100,000.00 22 hours ago
London, England, United Kingdom $50,000.00-$120,000.00 8 months ago
London, England, United Kingdom 17 hours ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
AI Engineer (Hybrid - London) employer: Curvestone AI
Contact Detail:
Curvestone AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Hybrid - London)
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI. Since Curvestone is focused on language-based AI, understanding concepts like prompt engineering and tools such as LangChain will give you an edge in discussions during interviews.
✨Tip Number 2
Showcase your collaborative skills by preparing examples of past projects where you worked closely with cross-functional teams. Curvestone values teamwork, so demonstrating your ability to communicate effectively with engineers, designers, and product specialists will be beneficial.
✨Tip Number 3
Engage with the AI community online. Participate in forums or attend webinars related to Generative AI. This not only keeps you updated but also helps you network with professionals who might provide insights or referrals for opportunities at Curvestone.
✨Tip Number 4
Prepare to discuss how you can contribute to the continuous improvement of AI innovation at Curvestone. Think about specific ideas or capabilities you could bring to the table that align with their mission and product roadmap.
We think you need these skills to ace AI Engineer (Hybrid - London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and software engineering. Focus on your proficiency with Generative AI concepts and tools, as well as any projects that demonstrate your skills in prototyping and implementing algorithms.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and how it aligns with Curvestone's mission. Mention specific experiences that showcase your collaborative mindset and ability to work in fast-paced environments.
Showcase Relevant Projects: If you have worked on projects related to Generative AI or data engineering, include them in your application. Describe your role, the technologies used, and the impact of your contributions to demonstrate your hands-on experience.
Highlight Communication Skills: Since the role requires strong interpersonal and communication skills, provide examples of how you've effectively communicated complex ideas to diverse teams. This could be through presentations, documentation, or collaborative projects.
How to prepare for a job interview at Curvestone AI
✨Showcase Your Generative AI Knowledge
Make sure to highlight your understanding of generative AI concepts during the interview. Be prepared to discuss specific tools and techniques you've used, such as prompt engineering or fine-tuning, and how they relate to real-world applications.
✨Demonstrate Collaboration Skills
Curvestone values a collaborative mindset, so be ready to share examples of how you've worked effectively with cross-functional teams in the past. Discuss any experiences where you facilitated learning or contributed to team projects.
✨Prepare for Technical Questions
Expect technical questions related to AI algorithms and data science tools. Brush up on your knowledge of libraries like NumPy and Pandas, and be ready to explain how you've implemented algorithms in previous roles.
✨Understand the Company’s Product
Familiarise yourself with WorkflowGPT and its applications. Be prepared to discuss how you can contribute to its development and improvement, and think of innovative ideas that could enhance its capabilities based on client use cases.
