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 building complex agentic workflows and advancing AI technology.
- Why this job: Make a real impact in a multi-billion industry by developing 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 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, K8S
- MDB, 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 Manchester employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join a pioneering software company in Central London that is at the forefront of AI innovation, where your expertise as a Staff Software Engineer will directly influence the development of cutting-edge products. With a strong focus on employee growth and a collaborative work culture, you'll enjoy flexible remote and hybrid working options, competitive salary packages, and the opportunity to lead transformative projects in a supportive environment dedicated to meaningful work.
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 Manchester
✨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 related to AI/ML. We want to see your work in action, so make it easy for potential employers to check it out.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms. The more you practice, the more confident you'll feel when it’s showtime!
✨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 Staff Software Engineer (Agentic AI) - Hybrid / Remote in Manchester
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, and any relevant frameworks like LangGraph or Pydantic AI. We want to see how you can shape our AI vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you envision contributing to our forward-looking product ecosystem. Let us know why you're excited about the opportunity to lead technical strategies at StudySmarter.
Showcase Your Leadership Experience:Since this is a technical leadership role, be sure to highlight any past experiences where you've led teams or projects. We’re looking for someone who can guide others and set best practices in AI/ML development, so don’t hold back!
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 Databricks. The interviewers will want to see that you can not only talk the talk but also walk the walk.
✨Showcase Your Leadership Skills
Since this is a technical leadership role, prepare examples of how you've led projects or teams in the past. Think about times when you set a vision for a project or improved processes. Be ready to discuss how you can shape the AI/ML strategy and best practices at their company.
✨Understand the Business Context
This role is about more than just coding; it’s about addressing a multi-billion industry. Research the company’s client base and their current solutions. Be prepared to discuss how you can contribute to creating a forward-looking AI product ecosystem that goes beyond just layering AI on existing applications.
✨Prepare for Collaborative Scenarios
Given the emphasis on working collaboratively with product teams, think of examples where you’ve successfully worked in agile environments. Be ready to discuss how you handle fast-moving iterations and client-facing situations, as this will demonstrate your ability to thrive in their dynamic setting.
