At a Glance
- Tasks: Join our R&D team to develop innovative AI solutions and scalable web applications.
- Company: Sharegain is on a mission to democratise capital markets with cutting-edge technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in the finance world by building intelligent systems that empower investors.
- Qualifications: 6+ years in software development with proven AI experience and strong engineering fundamentals.
The predicted salary is between 70000 - 90000 £ per year.
About us
Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor? Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients. We call it SLaaS: Securities Lending as a Service. It’s a fully digital, customizable, end-to-end solution that automates front- and back-office operations. Institutions and investors are now free to earn more from what they own. Every Sharegainer has their own backstory, but we all share an ambition to do things differently – bigger, better, and greater. Together we’re on a mission to democratize capital markets by building a more liquid world. The more we share, the more we all gain.
About the role
We are looking for an experienced AI Engineer to join our R&D team. You will be delivering scalable web applications from idea to production, taking care of all aspects of software development – from technologies and security to scalability and reliability.
Responsibilities
- End-to-end ownership of AI & agent systems: take full ownership of your features from architecture and design through to implementation and production, including AI-native features such as autonomous agents and intelligent workflows.
- Own the full model quality lifecycle from experimentation through to production monitoring and improvement.
- Cloud infrastructure: be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications.
- Technical excellence: drive technical excellence, high product quality, innovation, and timely delivery in a production-critical environment.
- Translate business needs into concrete system architecture and implement it end-to-end across the stack.
Requirements
- 6+ years of software development experience.
- Proven LLM experience: write, optimize, and measure the effectiveness of AI prompts and applications.
- Rapidly experiment with models, prompts, and architectures using structured evaluation to identify the best solutions, and translate cutting-edge LLM capabilities into reliable, production-grade systems.
- Strong software engineering fundamentals: SOLID, TDD, version control systems (Git/GitHub/GitLab), and the ability to write production-ready code.
- Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance.
- Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing.
- Experience with at least one major cloud provider (AWS, Azure, or GCP).
- Experience with Kubernetes and Docker containers.
- Experience designing and building microservices architecture.
- A team player with a positive attitude and a problem-solver mindset.
AI Engineer London R&D · London · employer: Sharegain Ltd
At Sharegain, we pride ourselves on being an innovative employer that champions a collaborative and inclusive work culture. Our London R&D team offers exceptional opportunities for professional growth, with access to cutting-edge technology and the chance to work on transformative projects in the financial sector. We believe in empowering our employees to take ownership of their work, fostering an environment where creativity and technical excellence thrive, all while contributing to our mission of democratizing capital markets.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer London R&D · 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 Sharegain Ltd 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 Sharegain Ltd.
✨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 Sharegain Ltd.
✨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 Sharegain Ltd 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 AI Engineer London R&D · 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 Sharegain Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Sharegain Ltd 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 Sharegain Ltd
✨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 Sharegain Ltd 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.
