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- Tasks: Design and build cutting-edge AI solutions to transform the insurance industry.
- Company: Join an exciting early-stage start-up revolutionizing insurance with AI technology.
- Benefits: Be part of a funded start-up with a strong roadmap and growth potential.
- Why this job: Work on innovative AI projects that drive efficiency and accuracy in a dynamic environment.
- Qualifications: 4+ years in AI/ML engineering, expertise in NLP and LLMs, strong Python skills.
- Other info: Ideal for those passionate about AI and eager to make an impact in a start-up.
The predicted salary is between 43200 - 72000 £ per year.
My client are looking for a new Senior/Lead AI Engineer to join their growing team! They\’re an exciting early stage start-up who are revolutionising the insurance industry with AI powered technology! They have recently secured over $3,000,000 in initial funding and have a strong roadmap for the coming years.
You\’ll focus on Large Language Models and Natural Language Processing, leveraging your expertise to create AI-powered solutions that drive efficiency and accuracy.
Responsibilities:
- Design and build AI solutions using state-of-the-art technologies.
- Optimize AI models for specific applications and evaluate their performance.
- Develop and maintain data pipelines for model training and inference.
- Collaborate with engineers and product teams to integrate AI into products.
- Stay updated on AI advancements and contribute to the company\’s AI strategy.
Qualifications:
- At least 4 years of experience in AI/ML engineering, with a focus on NLP and LLMs.
- Strong programming skills in Python and data science libraries.
- Expertise in working with Large Language Models.
- Experience with AI frameworks and techniques (e.g., PyTorch, RAG, Agentic architectures).
- Knowledge of cloud-based AI services and API integrations.
- Familiarity with data pipelines and ETL processes.
- Experience deploying AI models in production environments.
- Strong problem-solving and communication skills.
- Passion for AI and its applications.
- Strong experience within Start-Ups and Early stage companies
Lead AI Engineer employer: SearchWorks
Contact Detail:
SearchWorks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Make sure to showcase your experience with Large Language Models and Natural Language Processing in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will resonate well with the team.
✨Tip Number 2
Since the company is a start-up, emphasize your adaptability and experience in fast-paced environments. Share examples of how you've thrived in previous roles where you had to pivot quickly or take on multiple responsibilities.
✨Tip Number 3
Stay updated on the latest advancements in AI and be prepared to discuss them during your interactions. This shows your passion for the field and your commitment to contributing to the company's AI strategy.
✨Tip Number 4
Collaborate effectively with engineers and product teams is key. Be ready to share your thoughts on how you can integrate AI into products and improve efficiency, as this will demonstrate your teamwork skills and strategic thinking.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in AI/ML engineering, particularly focusing on Natural Language Processing and Large Language Models. Use specific examples from your past work that demonstrate your expertise.
Showcase Technical Skills: Clearly list your programming skills, especially in Python, and mention any relevant data science libraries you are proficient in. Highlight your experience with AI frameworks like PyTorch and any cloud-based AI services you've worked with.
Demonstrate Problem-Solving Abilities: Provide examples of how you've tackled complex problems in previous roles. This could include optimizing AI models or developing data pipelines. Show how your solutions have driven efficiency and accuracy.
Express Passion for AI: Convey your enthusiasm for AI and its applications in the insurance industry. Discuss any personal projects or ongoing learning that showcases your commitment to staying updated on AI advancements.
How to prepare for a job interview at SearchWorks
✨Showcase Your AI Expertise
Be prepared to discuss your experience with Large Language Models and Natural Language Processing in detail. Highlight specific projects where you've designed and built AI solutions, and be ready to explain the technologies you used and the impact of your work.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your problem-solving abilities. Prepare examples of challenges you've faced in AI/ML engineering and how you overcame them, particularly in optimizing models or integrating AI into products.
✨Familiarize Yourself with Their Tech Stack
Research the AI frameworks and techniques mentioned in the job description, such as PyTorch and Agentic architectures. Being knowledgeable about their tech stack will show your genuine interest and readiness to contribute from day one.
✨Express Your Passion for AI
Convey your enthusiasm for AI and its applications during the interview. Share insights on recent advancements in the field and how they could potentially influence the insurance industry, demonstrating that you are not just a candidate, but a passionate advocate for AI innovation.
