At a Glance
- Tasks: Build AI-powered workflows and transform document analysis for real-world decision making.
- Company: Exciting AI startup in London with a focus on product engineering.
- Benefits: Competitive salary, equity, unlimited holiday, and generous learning budget.
- Other info: Work in a collaborative space with excellent career growth opportunities.
- Why this job: Join a dynamic team and make a real impact with cutting-edge AI technology.
- Qualifications: Strong Python skills and experience in fast-paced startup environments.
The predicted salary is between 100000 - 160000 £ per year.
One of the most interesting AI startups in London is hiring a Senior Software Engineer to help build a generative AI platform transforming how complex documents are analysed and used in real world decision making.
This is a proper product engineering role. Owning features end to end, building AI powered workflows, and working closely with customers to solve real problems.
What you’ll be working on:- Building Python backend systems powering AI driven document analysis
- Developing APIs and integrations used by enterprise customers
- Designing agentic workflows and automation pipelines
- Shipping features end to end from idea to production to customer adoption
- Collaborating with product and commercial teams as well as customers
- Python
- Generative AI and LLM workflows
- AI assisted development tools such as Cursor, Copilot and Claude Code
- API and backend system design
- Product focused engineering within a startup environment
- Have strong Python engineering experience
- Enjoy owning product features end to end
- Have worked in fast moving startups or high growth teams
- Are excited about applying AI to real business problems
- £100k to £160k base
- Meaningful equity
- Unlimited holiday
- £100 monthly wellbeing budget
- £1k learning budget
- Enhanced parental leave
Location: London (2/3 days onsite)
If you’re a product minded Python engineer interested in AI native development, this is a seriously interesting opportunity.
Software Ai Engineer Python, Remote in City of London employer: Wave Group
Join one of London's most exciting AI startups, where you'll be at the forefront of innovation in generative AI. With a strong focus on product engineering, you'll have the opportunity to own features end-to-end, collaborate closely with customers, and contribute to meaningful solutions that transform decision-making processes. Enjoy a vibrant work culture that promotes employee growth through unlimited holiday, a generous learning budget, and equity options, all while working in a dynamic startup environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Software Ai Engineer Python, Remote in City of London
✨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 Wave Group 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 Wave Group.
✨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 Wave Group.
✨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 Wave Group 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 Software Ai Engineer Python, Remote in City of London
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 Wave Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wave Group 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 Wave Group
✨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 Wave Group 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.
