At a Glance
- Tasks: Build innovative AI products from concept to production and solve real business problems.
- Company: Established tech company focused on greenfield AI native product development.
- Benefits: Competitive salary, remote-first work, and significant influence over product direction.
- Other info: Join a dynamic team with high trust and low bureaucracy for career growth.
- Why this job: Shape the future of AI with a trusted team in a flexible environment.
- Qualifications: Experience in AI applications, strong software engineering skills, and AWS expertise.
Location: London (remote-first - in office 1x a fortnight)
Salary: £90,000 - £110,000
Tech stack: Flexibility with technical background, provided candidate is fluent in modern technologies such as:
- Python
- Golang
- Modern JavaScript frameworks
- LLMs & AI Agents
- RAG & AI orchestration frameworks
Must have strong AWS experience & high competence with Agentic coding tools.
This is an opportunity to help shape a new generation of AI native products from day 1. You will be joining a well-established technology company investing heavily in a new generation of AI native products, giving you the opportunity to work on greenfield initiatives without the funding uncertainty, chaos, or risk that often comes with an early stage startup.
They are looking for an experienced engineer who has already shipped AI powered systems into production and can operate with a high degree of autonomy. You will join a small, experienced team where engineers are trusted to make decisions, move quickly, and own problems end to end, without layers of process or constant oversight. It is an adult environment that values outcomes over presenteeism, offers genuine flexibility, and gives engineers significant influence over product direction and architecture.
What you will be doing:
- Building AI powered products and features from concept through to production
- Designing and developing AI agents that solve real business problems
- Working closely with product stakeholders to rapidly iterate and deliver value
- Using agentic development tools as a core part of your workflow
- Making pragmatic architecture decisions that balance speed with long term maintainability
- Deploying and operating cloud native applications in production
- Exploring new models, frameworks and approaches to keep products at the forefront of what is possible
What they are looking for:
- Strong software engineering foundations with proven commercial experience working across the stack
- Experience building and shipping production AI applications or AI agents
- Hands on experience with LLM APIs, RAG systems, orchestration frameworks, or similar AI technologies
- Strong architectural instincts and ability to make sound engineering decisions
- Experience working with AWS cloud infrastructure
Why join?
- Opportunity to build greenfield AI native products
- High trust, low bureaucracy environment
- Significant ownership and influence over technical direction
- Strong investment in modern AI tooling and engineering practices
- Remote-first & flexible environment
Interested and eager to help shape how software is built in an AI first world? Apply to this role or drop me an email at.
AI Software Engineer in London employer: SR2
Join a forward-thinking technology company in London that prioritises innovation and employee autonomy. As an AI Software Engineer, you'll enjoy a remote-first work culture with the flexibility to shape cutting-edge AI products while benefiting from significant ownership over your projects. With a strong emphasis on professional growth and a supportive environment that values outcomes over presenteeism, this is an excellent opportunity for those looking to make a meaningful impact in the AI space.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, GitHub contributions, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Software Engineers and practice your responses. Be ready to discuss your past projects and how you've tackled challenges in AI development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Software Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Software Engineer role. Highlight your experience with Python, Golang, and any AI technologies you've worked with. We want to see how you can contribute to our greenfield projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your background makes you a perfect fit for our team. Don’t forget to mention specific projects or achievements that demonstrate your ability to build AI-powered products.
Showcase Your Projects:If you've built any AI applications or worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve LLMs or orchestration frameworks. It helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team and shaping the future of AI together!
How to prepare for a job interview at SR2
✨Know Your Tech Stack
Make sure you're well-versed in the technologies mentioned in the job description, especially Python, Golang, and modern JavaScript frameworks. Brush up on your experience with LLMs and AI orchestration frameworks, as these will likely come up during technical discussions.
✨Showcase Your AI Experience
Prepare to discuss specific AI projects you've worked on, particularly those where you've shipped production applications. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company Culture
Familiarise yourself with the company's values around autonomy and flexibility. Think of examples from your past work that illustrate how you thrive in low-bureaucracy environments and can make decisions independently. This will help you align your answers with what they’re looking for.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, product direction, and the tools they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation.
