At a Glance
- Tasks: Join a team building impactful AI software and technologies for startups.
- Company: TechTree connects talent with innovative AI-focused startups.
- Benefits: Competitive salary, equity options, and remote work flexibility.
- Other info: Enjoy high ownership and direct access to founders in a dynamic environment.
- Why this job: Make a real impact in the AI field while working with cutting-edge technology.
- Qualifications: Experience in Python and AI technologies is essential.
The predicted salary is between 100000 - 175000 β¬ per year.
TechTree connects exceptional talent with startups building AI software and related technologies. We match your background, language skills, and ambitions to roles across our network.
Available Roles:
- AI Engineer β Healthtech (Remote) β $100kβ$180k + equity
- Founding AI Engineer (Warsaw, Remote) β PLN 240kβ480k + equity
- Full-Stack AI Engineer (London, on-site) β Β£100kβΒ£175k + equity
- Applied ML Lead (Remote) β $100kβ$150k + equity
- Senior ML/AI Engineer (Poland, Remote) β PLN 288kβ317k + equity
What These Roles Have In Common:
- Python
- FastAPI
- LangChain / LangGraph
- RAG vector stores
- Production and Ownership
- Real production scale β millions of users
- High ownership, direct founder access, meaningful equity
Senior AI Engineer β Remote, Equity, High-Impact Scale in London employer: TechTree
TechTree is an exceptional employer that champions innovation and growth in the AI sector, offering remote roles that provide high-impact opportunities and meaningful equity. With a culture that prioritises collaboration and direct access to founders, employees are empowered to take ownership of their projects while enjoying competitive compensation packages. The flexibility of remote work combined with the chance to contribute to cutting-edge technology makes TechTree an attractive choice for talented individuals seeking to make a significant impact.
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior AI Engineer β Remote, Equity, High-Impact Scale in London
β¨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at startups. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios. Practice coding challenges and be ready to discuss your past experiences in detail. Confidence is key, so let your passion for AI shine through!
β¨Tip Number 4
Donβt forget to apply through our website! Weβve got a range of exciting roles that match your skills and ambitions. Keep an eye on new listings and get your applications in early to increase your chances of landing that dream job.
We think you need these skills to ace Senior AI Engineer β Remote, Equity, High-Impact Scale in London
Some tips for your application π«‘
Tailor Your CV:Make sure your CV is tailored to the role you're applying for. Highlight your experience with Python, FastAPI, and any relevant AI technologies. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission. Keep it concise but impactful β we love a good story!
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website:We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy β just a few clicks!
How to prepare for a job interview at TechTree
β¨Know Your Tech Inside Out
Make sure youβre well-versed in Python, FastAPI, and the other technologies mentioned in the job description. Brush up on your knowledge of LangChain, LangGraph, and RAG vector stores. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can apply them effectively.
β¨Showcase Your Impact
Prepare examples from your past work where you've made a significant impact, especially in production-scale environments. Highlight how your contributions led to improvements or innovations, and be ready to discuss how you can bring that same level of ownership and impact to their team.
β¨Understand the Company Culture
Research TechTree and understand their mission and values. Be prepared to discuss how your ambitions align with their goals. This will demonstrate that youβre not just looking for any job, but that youβre genuinely interested in contributing to their success.
β¨Ask Insightful Questions
Prepare thoughtful questions about the role, the team dynamics, and the companyβs future projects. This shows that youβre engaged and serious about the opportunity. It also gives you a chance to assess if this is the right fit for you, too!