Staff Software Engineer

Staff Software Engineer

Full-Time 70000 - 90000 € / year (est.) No home office possible
StepStone Group

At a Glance

  • Tasks: Design and build cutting-edge AI systems that reshape the job market.
  • Company: Join The Stepstone Group, a leader in fair and equitable hiring.
  • Benefits: Enjoy 29 days holiday, private healthcare, and a hybrid working model.
  • Other info: Be part of a community that values work-life balance and inclusivity.
  • Why this job: Make a real impact with AI while collaborating with diverse teams.
  • Qualifications: Strong software engineering skills in Python and cloud platforms like AWS.

The predicted salary is between 70000 - 90000 € per year.

At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. Join our team of 3,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform.

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.

Your 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) and you can 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 employer: StepStone Group

At The Stepstone Group, we pride ourselves on being an exceptional employer that values work-life balance and employee well-being. With a strong commitment to diversity and inclusion, we offer a supportive work culture where your contributions are recognised and your professional growth is nurtured through collaboration with talented teams. Enjoy generous benefits such as 29 days of holiday, private healthcare, and a hybrid working model that allows you to bring your dog to the office, making it a truly enriching place to work.

StepStone Group

Contact Detail:

StepStone Group Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Software Engineer

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 LLMs. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by practising common technical questions and soft skills scenarios. We all know communication is key, so be ready to explain your thought process clearly.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our community.

We think you need these skills to ace Staff Software Engineer

Python
Java
TypeScript
.NET
AWS
Large Language Models (LLMs)
API Integration

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Software Engineer role. Highlight your experience with AI systems, Python, and cloud platforms like AWS. We want to see how your skills align with our mission!

Showcase Your Projects:Include specific examples of projects where you've integrated LLMs or built scalable systems. We love seeing real-world applications of your skills, so don’t hold back on the details!

Communicate Clearly:Since this role involves influencing and mentoring, make sure your application reflects your communication skills. Use clear language to explain complex concepts and demonstrate how you can bridge the gap between technical and non-technical teams.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our community!

How to prepare for a job interview at StepStone Group

Know Your Tech Inside Out

Make sure you’re well-versed in Python and at least one of Java, TypeScript, or .NET. Brush up on your experience with AWS and distributed systems, as you'll need to demonstrate your ability to design and build scalable, secure architectures.

Showcase Your AI Expertise

Be prepared to discuss your hands-on experience with integrating Large Language Models into production. Highlight specific projects where you've used APIs like OpenAI or Bedrock, and explain how you approached prompt orchestration and tool usage.

Communicate Clearly and Confidently

Since this role requires strong communication skills, practice explaining complex technical concepts in simple terms. Think about how you can align technical decisions with user needs and business priorities, and be ready to share examples of how you've influenced cross-functional teams.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities and decision-making processes. Prepare to discuss how you would handle large-scale implementations, ensuring excellence across testing and monitoring while mentoring others to raise engineering quality.