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- Tasks: Build and deploy AI solutions to revolutionise insurance claims and enhance customer experience.
- Company: Innovative InsurTech company transforming the insurance industry with advanced AI technology.
- Benefits: Remote work options, team-building activities, and a focus on continuous learning.
- Why this job: Join a purpose-driven team making a real difference in people's lives through AI.
- Qualifications: 2+ years in AI/ML engineering, strong communication skills, and a passion for innovation.
- Other info: Dynamic environment with opportunities for growth and collaboration with insurance specialists.
The predicted salary is between 28800 - 48000 £ per year.
Join an innovative InsurTech company revolutionising insurance claims through advanced AI technology. As an AI Engineer, you will be instrumental in developing systems that transform the claims process—turning moments of crisis into compassionate support with increased speed, accuracy, and empathy. If you are passionate about leveraging AI to make a meaningful difference and thrive in a dynamic, fast-paced environment, this is an excellent opportunity to contribute to a purpose-driven team shaping the future of claims management.
What You'll Do:
- Build and deploy AI solutions that improve assessment accuracy, accelerate processing times, and enhance customer experience.
- Collaborate with insurance specialists to convert claims workflows into scalable, AI-driven processes.
- Implement large language models (LLMs), LangChain, and other cutting-edge tools to handle complex insurance challenges at scale.
- Lead projects from initial concept through deployment, continuously measuring and optimising performance metrics.
Required Skills:
- Minimum 2 years of experience in AI/ML engineering or research.
- Proven track record of executing AI/ML projects from start to finish, with measurable impact on key business metrics.
- Proficiency in deploying AI solutions, including experience with LLMs and related frameworks.
- Strong communication skills, with ability to collaborate effectively with both technical and non-technical colleagues.
- Comfortable working in fast-changing environments and managing ambiguity.
Nice to Have Skills:
- Experience with emerging AI frameworks like LangChain.
- Familiarity with insurance claim processes and workflows.
- Knowledge of cloud deployment and scalable solutions.
- Previous experience in startup or scale-up settings.
Preferred Education and Experience:
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields.
- Successful history of developing AI products that deliver business value.
Other Requirements:
- Ability to work remotely up to 30 days per year.
- Willingness to participate in company offsites and team-building activities.
- Passion for innovation, continuous learning, and solving challenging problems alongside a motivated team.
Think you have what it takes to transform the future of claims processing with AI? Apply now to become a vital part of an impactful, mission-driven organization dedicated to making a difference during life's hardest moments.
Generative AI Engineer employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the InsurTech space, especially those working with AI. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to improve processes or customer experiences. This is your chance to shine and prove you can make a meaningful impact.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and other AI frameworks. Be ready to discuss how you've tackled complex challenges in previous roles. We want to see your passion for innovation and problem-solving!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our mission-driven team. Let’s shape the future of claims management together!
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Generative AI Engineer. Highlight your experience with AI/ML projects and any specific tools like LLMs or LangChain that you've worked with. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to transforming the claims process. Be sure to mention any relevant experiences that showcase your ability to work in fast-paced environments.
Showcase Your Projects: If you've led AI projects from concept to deployment, don’t hold back! Include links or descriptions of your work that demonstrate measurable impact. We love seeing real-world applications of your skills and how they’ve made a difference.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Stott and May
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially those related to large language models and frameworks like LangChain. Be ready to discuss your past projects in detail, highlighting how they made a measurable impact.
✨Show Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex challenges in previous roles. Think about how you can relate these experiences to the insurance claims process and demonstrate your ability to innovate under pressure.
✨Communicate Clearly
Since you'll be collaborating with both technical and non-technical colleagues, practice explaining your ideas in simple terms. This will show that you can bridge the gap between different teams and make your insights accessible to everyone.
✨Embrace the Fast-Paced Environment
Be ready to discuss how you've thrived in dynamic settings before. Share examples of how you managed ambiguity and adapted quickly to changes, as this role requires someone who can keep up with the fast-moving world of InsurTech.
