At a Glance
- Tasks: Design and build AI workflows that automate product lifecycle processes.
- Company: Join a forward-thinking tech company with a hybrid work culture.
- Benefits: Enjoy competitive salary, private medical insurance, and 25+ days holiday.
- Other info: Collaborative team atmosphere with excellent growth opportunities.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: Experience in AI engineering and strong software development skills required.
The predicted salary is between 60000 - 80000 € per year.
Bracknell, UK (Hybrid – 2 days per week in office)
In This Role, You Will:
- Design and build agentic AI workflows that connect and automate handoffs across the product lifecycle – from engineering and QA through to delivery and sales.
- Evaluate and select AI tooling across the lifecycle, establishing coherent standards for how different teams build and interact with AI capabilities.
- Build MCP integrations and API layers that allow AI capabilities to operate across existing systems and workflows.
- Identify where AI can surface context, reduce duplication, and improve decision‑making as work moves between teams and lifecycle stages.
- Work with product, engineering, delivery, and sales teams to understand their workflows and design AI‑native improvements grounded in how the business actually operates.
- Contribute to AI governance and compliance readiness, supporting the organisation's approach to the EU AI Act and ISO 42001.
- Collaborate closely with the rest of the AI Function to ensure the tooling and patterns you build are consistent with the shared AI platform.
Essential Experience And Skills:
- Hands‑on experience in AI engineering, building production AI/ML systems.
- Demonstrable experience with agentic AI patterns: multi‑step actions, tool use, state management, and defined guardrails.
- Experience with MCP or similar AI integration patterns, and the ability to design service boundaries between AI capabilities and existing systems.
- Strong software engineering fundamentals: TypeScript or Python, API design, automation scripting, CI/CD pipelines.
- Experience working across multiple teams or business functions – you understand how to navigate different stakeholder contexts and translate between technical and non‑technical thinking.
- Comfortable with ambiguity: this role involves working in a business context that is not yet fully defined, and shaping the approach as you go.
Desirable Skills:
- Background in DevOps, platform engineering, or developer experience roles.
- Experience designing tooling or workflow automation used by non‑engineering teams.
- Familiarity with SAP BTP ecosystem.
- Understanding of EU AI Act requirements and ISO 42001.
Benefits Include:
- Competitive salary.
- Company pension.
- Private Medical Insurance & Health Cash Plan.
- Life Assurance & Income Protection.
- Employee Assistance Programme (Unum EAP).
- 25 days holiday per year, rising to 30 days with service, plus public holidays.
- Global Flexibility – work abroad for up to one month per year.
- Enhanced Parental Leave.
- Paid Volunteer Day.
- Employee Referral Bonus.
- Learning and Development Budget.
- Mental Health First Aiders Programme.
Basis Technologies is proud to be an Equal Opportunities Employer and we encourage applications from all people regardless of race, religion, gender, age, disability status or sexual orientation.
AI Engineer: Unified Product Lifecycle in Bracknell employer: Basis Technologies
Basis Technologies is an exceptional employer located in Bracknell, UK, offering a hybrid work model that promotes flexibility and work-life balance. With a strong focus on employee growth, the company provides a comprehensive benefits package including competitive salaries, generous holiday allowances, and a dedicated learning and development budget, fostering a culture of innovation and collaboration across teams. Join us to be part of a forward-thinking organisation that values diversity and encourages meaningful contributions to the evolving landscape of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer: Unified Product Lifecycle in Bracknell
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. This is your chance to demonstrate your hands-on experience and creativity, making it easier for hiring managers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI engineering. Think about how your experience aligns with the job description and be ready to discuss specific examples of your work with AI workflows and integrations.
✨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 the initiative to connect directly with us.
We think you need these skills to ace AI Engineer: Unified Product Lifecycle in Bracknell
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Engineer. Highlight your hands-on experience in AI engineering and any relevant projects that showcase your skills in building production AI/ML systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've worked across teams and navigated different stakeholder contexts, as this is key for us.
Showcase Your Technical Skills:Don’t forget to mention your software engineering fundamentals! Whether it’s TypeScript, Python, or API design, we want to see how your technical skills align with our needs.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Basis Technologies
✨Know Your AI Stuff
Make sure you brush up on your AI engineering knowledge, especially around agentic AI patterns and production systems. Be ready to discuss your hands-on experience and how you've tackled challenges in previous roles.
✨Understand the Business Context
Familiarise yourself with how different teams like product, engineering, and sales operate. Think about how AI can improve their workflows and be prepared to share specific ideas on how you would design AI-native improvements.
✨Showcase Your Collaboration Skills
This role involves working across multiple teams, so highlight your experience in navigating different stakeholder contexts. Share examples of how you've successfully translated technical concepts for non-technical audiences.
✨Be Ready for Ambiguity
Since the business context is still evolving, demonstrate your comfort with ambiguity. Talk about times when you've shaped approaches in undefined situations and how you adapt to changing requirements.
