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- Tasks: Build and fine-tune LLM systems, deploying robust generative AI solutions.
- Company: Join a VC-backed startup focused on impactful generative AI innovation.
- Benefits: Enjoy meaningful equity, high autonomy, and the chance to out-earn big tech roles.
- Why this job: Shape groundbreaking AI technology while owning your work and its rewards.
- Qualifications: Expertise in deploying LLMs, strong Python skills, and experience with reinforcement learning required.
- Other info: Work in an engineering-led environment where everyone codes and collaborates.
The predicted salary is between 48000 - 84000 £ per year.
Founding AI Engineer (London, In-person) VC-backed generative AI startup pursuing an ambitious idea, focused enough to execute exceptionally, impactful enough to genuinely matter. Taking specific LLM-powered tasks to 99%+ accuracy. Early-stage, engineering led, everyone codes. Joining means genuine ownership. Equity here isn’t symbolic; it positions you to significantly out earn a top AI lab or big tech role over time. You’ll shape what’s built, own meaningful upside, and directly benefit from the value created.
Role:
- Build, train and fine-tune LLM systems that set new benchmarks.
- Deploy robust generative AI systems end-to-end in production.
- Innovate with principled approaches in evaluation and reinforcement learning.
You’re someone who:
- Has exceptional software engineering ability with proven startup experience.
- Is deeply curious, intrinsically motivated, and loves hard problems.
- Solves challenges by uncovering fundamental principles and crafting elegant solutions.
- Uses AI-assisted coding tools (Copilot, Cursor, etc.).
Requirements:
- Expertise deploying production-grade LLMs in cloud environments.
- Excellent Python skills and strong ML engineering fundamentals.
- Experience with reinforcement learning methods.
- High autonomy. High intensity. Meaningful equity.
AI / ML Specialist employer: algo1
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Specialist
✨Tip Number 1
Familiarise yourself with the latest advancements in LLMs and generative AI. Being able to discuss recent breakthroughs or trends during your conversations can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase your hands-on experience with deploying production-grade LLMs. If you have any personal projects or contributions to open-source that highlight your skills, be ready to discuss them in detail.
✨Tip Number 3
Prepare to talk about your problem-solving approach. The role requires tackling hard problems, so think of specific examples where you've used fundamental principles to craft elegant solutions in your previous work.
✨Tip Number 4
Network with professionals in the AI and ML community. Attend meetups or webinars related to generative AI, as this can help you make valuable connections and learn more about what startups like us are looking for.
We think you need these skills to ace AI / ML Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering skills and any relevant startup experience. Emphasise your expertise in deploying production-grade LLMs and your proficiency in Python.
Craft a Compelling Cover Letter: In your cover letter, express your genuine interest in the role and the company. Discuss your passion for AI and ML, and how your background aligns with their mission to achieve high accuracy in LLM tasks.
Showcase Relevant Projects: Include specific examples of projects where you've built, trained, or fine-tuned LLM systems. Highlight any innovative approaches you've taken, especially in evaluation and reinforcement learning.
Demonstrate Curiosity and Problem-Solving Skills: In your application, convey your intrinsic motivation and curiosity. Share instances where you've tackled hard problems and how you approached them using fundamental principles and elegant solutions.
How to prepare for a job interview at algo1
✨Showcase Your Technical Skills
Be prepared to discuss your experience with deploying production-grade LLMs and your proficiency in Python. Bring examples of past projects where you've successfully implemented machine learning solutions, especially in cloud environments.
✨Demonstrate Problem-Solving Abilities
Expect to face challenging questions that assess your ability to tackle complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting how you approached difficult tasks and the innovative solutions you developed.
✨Express Your Curiosity and Motivation
This role values intrinsic motivation and curiosity. Be ready to share what drives you in the field of AI and ML, and discuss any personal projects or research that showcase your passion for the subject.
✨Understand the Company’s Vision
Research the startup's mission and the specific challenges they aim to address with their generative AI technology. Being able to articulate how your skills align with their goals will demonstrate your genuine interest in the position and the company.
