At a Glance
- Tasks: Develop and maintain advanced AI systems while collaborating with a top-notch mathematical science team.
- Company: Join a dynamic start-up at the forefront of AI technology.
- Benefits: Competitive salary, continuous learning, and access to cutting-edge AI tools.
- Other info: Enjoy a flexible role with opportunities for autonomy and career growth.
- Why this job: Make a real impact in AI while growing your skills in a collaborative environment.
- Qualifications: Experience in software engineering, particularly with Julia and AI/ML systems.
The predicted salary is between 60000 - 80000 £ per year.
This is a senior individual contributor position at the intersection of advanced AI research and production software engineering. You will collaborate daily with a world-class mathematical science team, owning the reliability, scalability, and developer experience of the product layer. As an early member of a growing start-up, you will also be expected to operate with a high degree of autonomy and self-direction. You will wear multiple hats, help establish engineering standards and practices, and play an active part in maturing Kodamai as a technical organisation. We are looking for someone who steps up when it matters, takes ownership beyond their immediate remit, and is energised rather than deterred by the ambiguity that comes with building something new.
Key Responsibilities
- Demonstrated experience delivering and maintaining production-grade software systems at scale.
- Our implementation language is Julia. Proficiency in Julia, or a genuine and documented commitment to acquiring it, is a firm requirement for this role.
- Prior experience in one or more modern languages — Go, Rust, Scala, or TypeScript — is not a substitute for Julia, but provides valuable conceptual grounding and will accelerate onboarding into our codebase and architecture.
- Working knowledge of Java or Python is an additional advantage.
- Hands-on experience with at least one major cloud provider: AWS, GCP, or Microsoft Azure.
- Practical experience with containerisation and orchestration using Docker and/or Kubernetes.
- Proven, production-level experience designing and delivering AI/ML systems, not limited to experimentation or research contexts.
- Solid understanding of modern AI/ML fundamentals: transformer architectures, foundation models, fine-tuning methodologies, and inference pipelines.
- Foundational knowledge of data science practices is advantageous.
- An active interest in the mathematical and theoretical underpinnings of AI/ML is essential.
Qualifications & Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Background in category theory, type theory, or formal methods.
- Experience with functional programming paradigms.
- Familiarity with scientific computing or numerical programming environments.
What We Offer
- Collaborative and growth-oriented work environment.
- Competitive consultancy fee commensurate with experience.
- Continuous learning opportunities and access to cutting-edge AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Product Engineer
✨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 Kodamai Ltd 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 Kodamai Ltd.
✨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 Kodamai Ltd.
✨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 Kodamai Ltd 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 Senior AI Product Engineer
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 Kodamai Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Kodamai Ltd 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 Kodamai Ltd
✨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 Kodamai Ltd 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.
