At a Glance
- Tasks: Embed AI into enterprise SaaS products and develop innovative AI/ML features.
- Company: Leading technology company with a focus on collaboration and innovation.
- Benefits: Competitive salary, professional development, and comprehensive employee benefits.
- Other info: Exciting opportunities for career growth in a supportive environment.
- Why this job: Join a dynamic team and make a real impact in the AI space.
- Qualifications: Experience in software engineering, AI/ML development, and proficiency in Python.
The predicted salary is between 55000 - 85000 £ per year.
Salary: £55,000 - 85,000 per year
Requirements
- Experience in software engineering with a focus on AI
- Proven experience in production AI/ML feature development
- Understanding of anomaly detection or predictive analytics
- Proficiency in Python and TypeScript/JavaScript
- Experience with REST API design and MCP integration patterns
- Knowledge of MLOps practices
- Understanding of graph‑based dependency or impact analysis (desirable)
- Experience with AI features in compliance or governance contexts (desirable)
- Familiarity with SAP BTP (desirable)
Responsibilities
- Embed AI into enterprise SaaS products
- Collaborate closely with product and engineering teams
- Develop and deploy AI/ML features into live products
- Implement anomaly detection or predictive analytics on structured operational data
- Manage MLOps including deployment pipelines, model monitoring, and retraining
- Design REST APIs and integrate MCP patterns
- Contribute to a structured product roadmap
Technologies
- AI
- API
- JavaScript
- Python
- REST
- SAP
- SAP BTP
- TypeScript
We are a leading technology company seeking an AI Engineer - Enterprise Product AI to join our team. This is a challenging and rewarding permanent position where you will help embed AI into established enterprise products. You will work in a collaborative environment with experienced teams, with opportunities for professional development and access to a comprehensive employee benefits package.
AI Engineer - Enterprise Product AI in Bracknell employer: Sivara GmbH
As a leading technology company, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer extensive growth opportunities and a comprehensive benefits package, making us an excellent employer for those looking to make a meaningful impact in the field of AI. Join us in a dynamic environment where your contributions will directly influence the evolution of enterprise products.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Enterprise Product AI in Bracknell
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Sivara GmbH or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Sivara GmbH.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Sivara GmbH.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Sivara GmbH that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer - Enterprise Product AI in Bracknell
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Sivara GmbH.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Sivara GmbH and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Sivara GmbH
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Sivara GmbH uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
