At a Glance
- Tasks: Lead the strategy for an innovative AI product ecosystem and shape technical vision.
- Company: Established software business with a strong client base and a collaborative culture.
- Benefits: Competitive salary, strong benefits package, and flexible remote/hybrid working options.
- Other info: Join a dynamic team focused on innovation and career growth opportunities.
- Why this job: Make a real impact in a multi-billion industry by building cutting-edge AI solutions.
- Qualifications: 5+ years in AI/ML engineering with expertise in Python/Java and cloud technologies.
The predicted salary is between 120000 - 145000 € per year.
A technical leadership role shaping the strategy, not just the code for an AI first product addressing a multi billion industry still running on PDFs and spreadsheets. The north star is creating a genuinely forward-looking AI product ecosystem, not just layering AI on legacy applications. There's meaningful work to do here and a client base won over 20 years to ship solutions to.
Your job at Staff level means you'll help set AI/ML vision, processes, and best practices genuine technical leadership, not a senior IC with a fancier title. This role leads on multi-agent systems and LLM orchestration patterns, building complex agentic workflows. You'd be working with frameworks like LangGraph, Pydantic AI, and Agent SDK.
Your background is most likely in an agile development environment where you are internal or external client facing, working collaboratively with product teams across fast moving iterations.
Technical requirements:
- 5+ years in AI / ML engineering
- Expert with Python / Java
- Strong AWS, Amazon Bedrock or equivalent
- Datadog, Databricks, MLFlow
- LangGraph, LangFuse
- Claude, Gemini, ChatGPT
- Terraform, Docker, K8
- RMDB, Graph, Vector DBs
- Claude Code
- Github
Company: Established software business, profitable and serving 1000+ customers based in Central London.
Package / what's on offer: Salary in the region of £120K - £145K + a strong benefits package. Remote and Hybrid working set ups depending on your location.
Staff Software Engineer (Agentic AI) - Hybrid / Remote in Slough employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join a leading software business in Central London that champions innovation and technical leadership in the AI space. With a strong focus on employee growth, you will have the opportunity to shape the future of AI products while enjoying a competitive salary and a robust benefits package, all within a collaborative and agile work culture that values meaningful contributions. Embrace the flexibility of remote and hybrid working arrangements, making this an ideal environment for those seeking both professional development and work-life balance.
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer (Agentic AI) - Hybrid / Remote in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI/ML. We want to see your hands-on experience with frameworks like LangGraph and Pydantic AI.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and leadership skills. We’re looking for someone who can shape strategy, so be ready to discuss how you’ve led teams and projects in the past.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Staff Software Engineer (Agentic AI) - Hybrid / Remote in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Staff Software Engineer role. Highlight your expertise in AI/ML, Python/Java, and any relevant frameworks like LangGraph or Databricks. We want to see how you can contribute to our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you envision shaping our product ecosystem. Be sure to mention your experience in agile environments and client-facing roles, as these are key for us.
Showcase Your Leadership Skills:Since this is a technical leadership role, don’t forget to highlight your experience in leading projects or teams. We’re looking for someone who can set the AI/ML vision and best practices, so share examples of how you've done this in the past.
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 us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical requirements listed in the job description. Brush up on your Python and Java skills, and be ready to discuss your experience with AWS and AI/ML frameworks like LangGraph and Pydantic AI. The interviewers will want to see that you can not only talk the talk but also walk the walk.
✨Showcase Your Leadership Skills
This role is all about technical leadership, so be prepared to share examples of how you've shaped strategies or processes in previous roles. Think about times when you’ve led a project or mentored others, and be ready to discuss how you can bring that experience to their team.
✨Understand the Business Context
Since this position involves working with a client base built over 20 years, it’s crucial to understand the industry landscape. Research the company’s clients and their needs, and think about how your work can address the challenges they face with legacy systems. This will show that you’re not just focused on the code but also on delivering real value.
✨Prepare for Collaborative Scenarios
Given the emphasis on working collaboratively with product teams, be ready to discuss your experience in agile environments. Prepare examples of how you’ve successfully collaborated with cross-functional teams, especially in fast-paced settings. Highlight your communication skills and adaptability, as these are key in a hybrid or remote setup.
