At a Glance
- Tasks: Design and deliver AI-driven systems that enhance security for millions globally.
- Company: Join KnowBe4, a leading cybersecurity firm focused on human risk management.
- Benefits: Competitive salary, bonuses, tuition reimbursement, and a fun remote work environment.
- Other info: Collaborative culture with continuous learning and global scale impact.
- Why this job: Make a real impact by building AI that protects people, not just data.
- Qualifications: 5+ years in cloud-native systems, proficiency in Python, and AI/ML feature delivery.
The predicted salary is between 100800 - 129600 £ per year.
About KnowBe4
KnowBe4 is a cybersecurity company that puts security first, literally and without compromise. Our AI‑driven Human Risk Management platform empowers over 70,000 organisations worldwide to strengthen their security culture and transform their workforce from their biggest vulnerability into their strongest security asset.
What You’ll Be Building
As a Senior Software Engineer at KnowBe4, you’ll design and deliver AI‑driven systems that power features used by millions of users around the world. This is full‑stack AI engineering at scale, where reliability, explainability, and security matter as much as innovation.
What You’ll Do
- AI Architecture: Design and deliver scalable AI systems that connect models, data, and products.
- Data & Orchestration: Build pipelines and serving layers that power adaptive, real‑time features.
- Collaboration: Partner with other engineering teams to ensure performance and reliability.
- Frameworks: Create reusable SDKs and libraries that accelerate AI adoption company‑wide.
- Excellence: Champion observability, testing, and secure‑coding best practices.
- Improvement: Anticipate emerging AI and cloud trends to guide technical evolution.
What You Bring
- 5+ years of experience building and operating large‑scale, cloud‑native or SaaS systems (preferably in AWS).
- Proficiency in Python modern API frameworks such as FastAPI or Flask.
- Hands‑on experience with CI/CD pipelines (we use GitLab) and infrastructure‑as‑code (we use Terraform).
- Practical experience delivering AI/ML features – RAG, orchestration, embeddings, or agentic workflows – in production.
- Commitment to engineering quality – you design for reliability, testability, and long‑term maintainability.
Bonus points if you have:
- Experience with LLM and orchestration frameworks (LangChain, LangGraph, Hugging Face, PyTorch).
- Familiarity with data processing and analytics tools (PySpark, Polars, or Parquet).
- A habit of turning new discoveries into reusable knowledge for the team.
Why This Team
- Impact with purpose – build AI that protects people, not just data.
- Collaborative culture – small, high‑ownership teams that ship fast and learn together.
- Modern stack – Bedrock, LangGraph, FastAPI, PyTorch.
- Continuous learning – budgets for certifications, conferences, and dedicated exploration time.
- Transparency and trust – radical candor, low ego, high accountability.
- Global scale – your work will help protect users across 70,000+ organisations.
Ready to Join Us?
If you’re passionate about building the systems that make AI safe, scalable, and genuinely useful, come help us protect people from the threats technology alone can’t solve.
The base pay for this position ranges from $140,000 – $180,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above. We will accept applications until 2/7/26.
We offer company‑wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses – all in a modern, high‑tech, and fun work environment.
For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law.
If you require reasonable accommodation in completing this application, interview, completing any pre‑employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.
Snr. Software Engineer - AI Engineering (Remote) employer: Egress
At KnowBe4, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of cybersecurity. Our remote-first culture fosters a supportive environment where employees can thrive through continuous learning opportunities, competitive benefits, and a commitment to building AI systems that protect people. Join us to make a meaningful impact while working with cutting-edge technology alongside passionate professionals dedicated to transforming security culture worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Snr. Software Engineer - AI Engineering (Remote)
✨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 Egress 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 Egress.
✨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 Egress.
✨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 Egress 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 Snr. Software Engineer - AI Engineering (Remote)
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 Egress.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Egress 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 Egress
✨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 Egress 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.