At a Glance
- Tasks: Lead the design and delivery of cutting-edge AI/ML systems and mentor fellow engineers.
- Company: Fast-growing tech company focused on innovative AI solutions.
- Benefits: Competitive salary, 25 days leave, flexible working, and career development.
- Other info: Join a collaborative team with excellent growth opportunities.
- Why this job: Shape the future of AI while making a real impact in a dynamic environment.
- Qualifications: 7+ years in AI/ML engineering and strong programming skills required.
The predicted salary is between 70000 - 90000 € per year.
My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products.
This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team.
Key Responsibilities- Lead the design and delivery of AI/ML initiatives across the full lifecycle
- Build and deploy models, data pipelines, and production systems
- Work closely with Engineering, Product, and DevOps teams
- Support integration of AI capabilities into wider platforms
- Provide guidance on AI/ML frameworks, tools, and best practices
- Contribute to the development of agent-based AI systems and workflows
- Mentor engineers and support technical development
- Promote strong collaboration across teams
- Identify and resolve challenges in AI/ML systems
- Improve performance, scalability, and reliability
- Ensure high standards around model performance, data quality, and compliance
- Maintain clear documentation and contribute to internal best practices
- 7+ years' experience in AI/ML engineering, including production systems
- 3+ years in a technical leadership role
- Strong programming skills (e.g. Python or similar)
- Experience with machine learning, data pipelines, and scalable systems
- Knowledge of modern AI approaches, including large language models and agent-based systems
- Experience working with cloud platforms (AWS, GCP, or Azure)
- Understanding of distributed systems and scalable architectures
- Experience with CI/CD, microservices, and MLOps practices
- Ability to mentor and support engineers
- Strong collaboration and communication skills
- Experience working in Agile environments
- Degree in a relevant technical field (or equivalent experience)
- Backend languages (e.g. Python or similar)
- Cloud platforms (AWS / GCP / Azure)
- Containerisation and orchestration tools
- Infrastructure as code
- Observability and ML tooling
- Modern AI/LLM frameworks
- Relational and non-relational databases
- Version control and CI/CD tooling
- Competitive salary
- 25 days' annual leave + bank holidays
- Sick pay package
- Flexible / remote working
- Enhanced parental leave
- Pension scheme
- Career development opportunities
This role is not eligible for visa sponsorship.
Staff Software Engineer in Birmingham employer: LinkedIn
Join a dynamic and innovative technology company that prioritises employee growth and collaboration in the rapidly evolving field of AI and machine learning. With a strong focus on mentorship, flexible working arrangements, and a commitment to high-quality standards, this role offers an exciting opportunity to lead impactful projects while enjoying a supportive work culture that values your contributions. Located in the UK, you will be part of a forward-thinking team dedicated to shaping the future of AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving agent-based systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI frameworks. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Staff Software Engineer in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in AI/ML, especially with agent-based systems, to show us you're the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of your past projects that demonstrate your technical leadership and problem-solving skills.
Showcase Your Technical Skills:Don’t forget to mention your programming skills and experience with cloud platforms. We want to see your familiarity with tools and frameworks relevant to AI/ML, so be sure to include those details!
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at LinkedIn
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of agent-based AI systems and modern machine learning approaches. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, be prepared to talk about your experience mentoring engineers and leading projects. Share examples of how you've guided teams through complex problems and contributed to their growth. This will demonstrate your ability to lead and inspire others.
✨Collaboration is Key
Highlight your experience working with cross-functional teams, especially with Engineering, Product, and DevOps. Discuss how you’ve successfully integrated AI capabilities into wider platforms and the importance of communication in achieving project goals. This will show that you value teamwork and can work well with others.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, particularly around AI/ML systems. Think of specific instances where you identified challenges and implemented solutions to improve performance or scalability. This will help you stand out as a candidate who can think critically and act decisively.
