At a Glance
- Tasks: Design and build cutting-edge AI systems that transform recruitment experiences.
- Company: Join a forward-thinking tech company focused on innovation and inclusivity.
- Benefits: Enjoy 29 days holiday, private healthcare, hybrid work, and a dog-friendly office.
- Other info: Be part of a diverse community that values work-life balance and personal growth.
- Why this job: Make a real impact in the labour market with advanced AI technology.
- Qualifications: Strong software engineering skills in Python and cloud platforms like AWS.
The predicted salary is between 80000 - 100000 € per year.
About our Marketplace Enablement Org and User Dialogue Team
Within Marketplace Enablement, we build the technology that helps candidates and recruiters find the right match. Our teams deliver data products, search and recommendations, and intelligent user dialogue capabilities using modern engineering practices, AI and cloud-native technology.
Within this org, our User Dialogue team is building the next generation of conversational and agentic AI experiences. This includes intelligent candidate engagement, personalised outreach, messaging journeys, and AI‑powered systems that support users through complex recruitment journeys.
By joining this team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody.
The Role
We are recruiting for a Staff Software Engineer (AI) to help design, build and evolve production‑grade agentic AI systems. This is a strategic, hands‑on engineering leadership role focused on integrating Large Language Models into scalable, secure, reliable and observable architectures. This is an individual contributor leadership role with no direct line management responsibility.
You will help move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI‑powered systems.
Success in this role will depend as much on influence and communication as on technical depth. You will need to create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions.
Responsibilities
- Design, architect and deliver agentic, LLM‑powered systems in AWS, ensuring production readiness, scalability, reliability and security.
- Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products.
- Collaborate cross‑functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long‑term platform strategy.
- Define and drive engineering standards, reusable patterns, tools and best practices for building responsible, consistent and scalable AI systems.
- Lead large‑scale implementation and deployment, ensuring excellence across testing, monitoring, evaluation, guardrails and operational support, while clearly communicating architectural decisions and mentoring engineers to raise overall engineering quality.
Qualifications
- Strong Staff‑level software engineering background with expertise in Python and at least one of Java, TypeScript or .NET, and a proven track record delivering production‑grade systems.
- Experience designing, building and operating distributed systems on AWS (or similar cloud platforms), including secure development, data protection, compliance and enterprise architecture principles.
- Hands‑on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns.
- Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation for LLM‑powered systems.
- Strong communication and influencing skills, with experience mentoring engineers and driving high standards across teams while engaging both technical and non‑technical stakeholders.
Additional Information
We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer:
- 29 days holiday allowance + bank holidays
- Private medical and dental healthcare
- Matching pension contribution of 4 or 5% (after 3 years of service up to 10%)
- 24/7 Employee Assistance Programme
- Life Assurance Cover
- Cycle to work scheme
- Hybrid working model (3 days working from the office)
- Volunteering days
- Bring your dog to the office on Mondays and Fridays!
Our commitment
Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.
As a global business we further our DEI and sustainability progress by working with national and international bodies and are proud to have been recognised for our work - both locally and internationally.
Staff Software Engineer in London employer: Cerebras
At The Stepstone Group, we pride ourselves on being an exceptional employer that values both professional growth and personal well-being. Our vibrant work culture fosters collaboration and innovation, particularly within our User Dialogue team, where you will have the opportunity to lead cutting-edge AI projects while enjoying a generous benefits package, including 29 days of holiday, private healthcare, and a hybrid working model. We are committed to diversity and inclusion, ensuring that every employee feels valued and empowered to contribute to our mission of reimagining the labour market.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving AI and cloud tech. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI systems and software engineering. We recommend doing mock interviews with friends or using online platforms.
✨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!
We think you need these skills to ace Staff Software Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI systems and cloud technologies. We want to see how your skills align with our mission of building agentic AI experiences!
Showcase Your Technical Skills:Don’t hold back on detailing your expertise in Python, Java, TypeScript, or .NET. We’re looking for someone who can design and deliver production-grade systems, so let us know about your relevant projects!
Communicate Clearly:Since this role involves influencing and collaborating with various teams, make sure your application reflects your ability to explain complex concepts simply. We value clear communication just as much as technical depth!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter!
How to prepare for a job interview at Cerebras
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and cloud platforms like AWS. Brush up on your experience with LLMs and be ready to discuss how you've integrated them into production systems.
✨Showcase Your Leadership Skills
Even though this is an individual contributor role, they’re looking for someone who can influence and lead without direct authority. Prepare examples of how you've mentored others or driven high standards in previous projects.
✨Communicate Clearly and Confidently
Since success hinges on communication, practice explaining complex technical concepts in simple terms. Think about how you would describe your past projects to non-technical stakeholders and be ready to demonstrate that skill.
✨Align with Their Values
Familiarise yourself with the company’s commitment to diversity and inclusion. Be prepared to discuss how you can contribute to a positive team culture and support their mission to reimagine the labour market.
