At a Glance
- Tasks: Embed AI into enterprise SaaS products and develop innovative features.
- Company: Leading technology company with a focus on innovation.
- Benefits: Challenging role, professional development, and comprehensive benefits package.
- Other info: Dynamic environment with opportunities for career growth.
- Why this job: Join a collaborative team and make an impact in the tech sector.
- Qualifications: Experience in AI/ML development and proficiency in Python and TypeScript/JavaScript.
The predicted salary is between 70000 - 90000 £ per year.
Our client, a leading technology company, is currently seeking an AI Engineer - Enterprise Product AI to join their team. This is an exciting opportunity to embed AI into established enterprise products within the technology sector.
Key Responsibilities:
- Embedding AI into enterprise SaaS products
- Collaborating closely with product and engineering teams
- Developing and deploying AI/ML features into live products
- Implementing anomaly detection or predictive analytics on structured operational data
- Managing MLOps including deployment pipelines, model monitoring, and retraining
- Designing REST APIs and integrating MCP patterns
- Contributing to a structured product roadmap
Job 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)
Benefits:
- Challenging and rewarding permanent position
- Opportunity to work on established enterprise products
- Collaborative work environment with experienced teams
- Professional development opportunities
- Comprehensive employee benefits package
If you are an experienced AI Engineer with a background in embedding AI into enterprise SaaS products and are looking for a new opportunity, we would love to hear from you. Apply now to join our client's innovative team.
AI Engineer - Enterprise Product AI in Reading employer: Infosec
Join a leading technology company that values innovation and collaboration, offering an exciting opportunity for AI Engineers to embed cutting-edge AI into established enterprise products. With a strong focus on professional development and a comprehensive benefits package, employees thrive in a supportive work culture that encourages growth and creativity. Located in a vibrant tech hub, this role provides the chance to work alongside experienced teams on impactful projects that shape the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Enterprise Product AI in Reading
✨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 Infosec 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 Infosec.
✨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 Infosec.
✨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 Infosec 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 Reading
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 Infosec.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Infosec 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 Infosec
✨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 Infosec 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.
