At a Glance
- Tasks: Build and run software linking AI platforms to real labs for reliable experiment requests.
- Company: CuspAI, an innovative AI search engine transforming materials discovery.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with exposure to closed loop discovery and excellent career advancement potential.
- Why this job: Join a cutting-edge team making a real impact in the AI and lab integration space.
- Qualifications: Experience in lab automation, backend engineering in Python, and strong communication skills.
The predicted salary is between 45000 - 55000 £ per year.
The role builds and runs the software that links an AI materials platform to real laboratories, so that experiment requests go out and results come back reliably. A strong candidate has hands-on lab automation or self-driving lab experience plus solid backend engineering in Python, including typed code, API design and distributed systems that talk to outside partners. Clear communication across science and engineering matters, since the work is co-designed with materials scientists and partner labs.
How it fits the AI era: AI agents propose the experiments, but the physical world still runs on instruments, robots and lab software that must be connected and trusted. This role makes that loop real by turning messy partner systems into dependable, secure services, so the human work shifts toward integration design, reliability and onboarding new labs. The judgment about data contracts, security and what a lab can actually deliver stays with people.
How it builds AI experience: The job offers direct exposure to closed loop discovery, where model output drives experiments and results feed back into models. Building that experience means learning how lab instruments, LIMS and scheduling tools exchange data, and practicing reliable API and queue design for external partners. Workflow orchestration and active learning loops are listed as bonuses and are worth building toward.
- Distributed systems integration
- Secure external services
- Cross team communication
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About CuspAI: An AI search engine for new materials that the company says turns a wanted set of physical properties into synthesizable chemical designs in months instead of years of lab trial and error.
Scientific Software Engineer (Lab Integration) in London employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Scientific Software Engineer (Lab Integration) in 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 present of AI 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 present of AI.
✨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 present of AI.
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We think you need these skills to ace Scientific Software Engineer (Lab Integration) in 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 present of AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at present of AI 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 present of AI
✨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 present of AI 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.
