At a Glance
- Tasks: Lead software development and drive AI/ML product innovation in a dynamic startup.
- Company: Exciting early-stage startup focused on sustainability and shareholder activism.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Join a passionate team of experts and thrive in a fast-paced, collaborative culture.
- Why this job: Shape the future of technology while making a real impact in the business world.
- Qualifications: 5+ years in software engineering with strong AI/ML and data science skills.
The predicted salary is between 63000 - 77000 £ per year.
About the Role
AI/ML startup in the investor relations, sustainability, and shareholder activism space. Join an early-stage, VC-backed startup as a Lead Engineer and play a pivotal role in shaping the future of our product and company. We are seeking a technical leader to take our product to the next level. This is a unique opportunity to build software, drive product development, grow a team, and make a significant impact. If you're passionate about data, machine learning, and building technology to solve complex business challenges, we want to hear from you!
We’re a team of former consultants, investors, and investment bankers. We are looking to grow our team and are ready to develop our software now that we have conducted significant customer discovery to validate our idea and market solution.
Desired Skills and Qualifications:
- Software engineer with at least 5+ years of experience
- Strong backend programming skills
- Strong background in AI/ML and familiarity with the latest models
- Strong background in data science and data analytics
- Ability to develop sophisticated AI prompts and train open source models
- Interest in ESG, investment stewardship, and public markets
- Preference for those with Masters Degree or PhD, but not required
- Strong problem-solving skills and the ability to work independently as a self-learner
- Excellent communication skills and ability to work in a fast-paced, collaborative environment
Lead Engineer (Software & AI/ML) - Early Stage Startup employer: AIToolboard
Join an innovative early-stage startup that is at the forefront of AI/ML technology in the investor relations and sustainability sectors. We foster a dynamic work culture that encourages creativity and collaboration, offering ample opportunities for professional growth and development as you lead impactful projects. With a focus on solving complex business challenges, you'll be part of a passionate team dedicated to making a difference in the market.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer (Software & AI/ML) - Early Stage Startup
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at AIToolboard or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to AIToolboard.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like AIToolboard.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like AIToolboard that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead Engineer (Software & AI/ML) - Early Stage Startup
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at AIToolboard.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AIToolboard and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at AIToolboard
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If AIToolboard uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
