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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 early-stage, engineering-led environment where everyone codes.
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.
Tech / AI Specialist Tech / AI Specialist employer: algo1
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech / AI Specialist Tech / AI 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
Demonstrate your familiarity with AI-assisted coding tools like Copilot or Cursor. Discuss how these tools have enhanced your coding efficiency and how you envision using them in this new role.
We think you need these skills to ace Tech / AI Specialist Tech / AI Specialist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Tech / AI Specialist position. Familiarise yourself with LLM systems, reinforcement learning, and the specific technologies mentioned in the job description.
Tailor Your CV: Highlight your software engineering experience, particularly in startups, and emphasise your expertise in deploying production-grade LLMs. Make sure to include relevant projects or achievements that demonstrate your skills in Python and ML engineering.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for AI and your motivation to solve hard problems. Mention specific examples of how you've used AI-assisted coding tools and your approach to tackling challenges in previous roles.
Showcase Your Curiosity: In your application, convey your intrinsic motivation and curiosity. Discuss any personal projects or research you've undertaken in the AI field, as this will demonstrate your commitment and enthusiasm for the role.
How to prepare for a job interview at algo1
✨Showcase Your Technical Skills
Be prepared to demonstrate your expertise in Python and machine learning fundamentals. Bring examples of past projects where you've deployed production-grade LLMs, as this will highlight your hands-on experience and technical prowess.
✨Emphasise Your Startup Experience
Since the role is within a VC-backed startup, it's crucial to discuss your previous startup experiences. Share specific challenges you faced and how you contributed to solving them, showcasing your ability to thrive in high-intensity environments.
✨Demonstrate Curiosity and Problem-Solving Skills
Prepare to discuss how you approach complex problems. Highlight instances where your curiosity led you to uncover fundamental principles that informed your solutions, especially in AI and reinforcement learning contexts.
✨Discuss Your Use of AI-Assisted Tools
Mention your experience with AI-assisted coding tools like Copilot or Cursor. This shows that you're not only familiar with modern development practices but also open to leveraging technology to enhance your coding efficiency.
