At a Glance
- Tasks: Join a team building impactful AI software and technologies for startups.
- Company: TechTree connects talent with innovative AI-focused companies.
- 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 € 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 – Healthtech (Remote) — $100k–$180k + equity
- Founding AI Engineer (Warsaw, Remote) — PLN 240k–480k + equity
- Full-Stack AI Engineer (London, on-site) — £100k–£175k + equity
- Applied ML Lead (Remote) — $100k–$150k + equity
- Senior ML/AI Engineer (Poland, Remote) — PLN 288k–317k + equity
What These Roles Have In Common:
- Python
- FastAPI
- LangChain / LangGraph
- RAG vector stores
- Production and Ownership
- Real production scale — millions of users
- High ownership, direct founder access, meaningful equity
Senior AI Engineer — Remote, Equity, High-Impact Scale 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 Advice🤫
We think this is how you could land Senior AI Engineer — Remote, Equity, High-Impact Scale
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at startups. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects. When you apply through our website, include links to your work so potential employers can see what you're capable of.
✨Tip Number 3
Prepare for interviews by practising common AI-related questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you'll face.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. It shows you're genuinely interested in the role and helps keep you on their radar.
We think you need these skills to ace Senior AI Engineer — Remote, Equity, High-Impact Scale
Some tips for your application 🫡
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 – 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. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks!
How to prepare for a job interview at TechTree
✨Know Your Tech Inside Out
Make sure you’re 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.
✨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, particularly in AI software. This will demonstrate your ability to take ownership and drive results.
✨Engage with Founders' Vision
Research the company’s mission and the founders’ vision for their AI products. During the interview, express your enthusiasm for their goals and how your skills align with their needs. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you. Asking about their approach to scaling AI solutions can lead to a deeper conversation about your potential contributions.
