At a Glance
- Tasks: Build AI-powered solutions and improve workflows through automation.
- Company: Dynamic tech company focused on practical AI applications.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Hands-on role with excellent career advancement potential.
- Why this job: Make a real impact by developing innovative AI tools and solutions.
- Qualifications: 7+ years in software engineering with strong problem-solving skills.
The predicted salary is between 72000 - 88000 £ per year.
Location: Remote, UK based candidates only
Contract Duration: 6 Months initially
Working Hours: 9:00 AM – 6:00 PM
About the Role
The focus is on building practical AI-enabled solutions, improving internal workflows and reducing manual effort through automation. This is a hands-on software engineering position, not an AI research, prompt-writing, content labelling or project coordination role.
End-to-End Product Engineering: Minimum 7 years of experience independently designing, building, testing, launching and maintaining production software, including APIs, backend services, data workflows or full-stack applications.
Product & Technical Problem-Solving: Strong ability to understand ambiguous business or user requirements, identify the underlying problem and translate them into practical, scalable technical solutions.
Communication & Stakeholder Management: Excellent written and verbal communication skills, with the ability to explain technical decisions, trade-offs and solutions to both technical and non-technical stakeholders.
Key Responsibilities:
- Build and deliver end-to-end internal products, integrations and data workflows.
- Develop AI-powered tools and automation solutions to improve internal processes.
- Work closely with technical and non-technical teams to understand requirements and define technical solutions.
- Convert prototypes and manual processes into reliable, reusable and scalable products.
- Design evaluation frameworks and feedback loops for AI-powered workflows.
- Implement production engineering best practices, including automated testing, monitoring, observability and error handling.
- Use AI-assisted development tools to improve engineering efficiency while reviewing and validating generated code.
- Monitor product adoption, quality and performance, identifying opportunities to reduce manual work.
- Manage multiple technical projects independently, prioritising work based on business impact and complexity.
- Create technical documentation and onboarding processes to support long-term product maintenance.
Required Skills & Experience:
- Min 7 years of production software engineering, product engineering, ML engineering or hands-on technical solutions experience.
- Experience building and integrating APIs, backend services, data workflows or full-stack applications.
- Strong understanding of software development practices, including automated testing, debugging, monitoring and production reliability.
- Experience owning technical projects independently, from initial problem definition through implementation and launch.
Important to Know:
- This is a hands-on software engineering position, not an AI research, prompt-writing, content labelling or project coordination role.
- Candidates must be comfortable coding, building and validating production-ready solutions.
- The role involves working with internal technical and non-technical stakeholders.
- Direct social media industry experience is not required.
- Candidates should be comfortable working with evolving requirements and independently driving technical projects forward.
Applied AI Product Engineer employer: Russell Tobin
As a Senior Kotlin Engineer at our client, you will join a dynamic and inclusive work culture that prioritises employee well-being and professional growth. Located in a vibrant area, the company offers comprehensive benefits including healthcare coverage, retirement savings plans, and unique perks like pet insurance and legal support, ensuring a rewarding work-life balance. With a commitment to equal opportunity and fair chance employment, this is an excellent place for talented individuals seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Product Engineer
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Russell Tobin who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at Russell Tobin!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Russell Tobin to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Applied AI Product Engineer
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Russell Tobin!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Applied AI Product Engineer at Russell Tobin! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Russell Tobin
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Russell Tobin uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Russell Tobin that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Russell Tobin, so it's relevant and sparks conversation during your interview.