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- Tasks: Design and deploy advanced AI systems for complex legal tasks using cutting-edge NLP techniques.
- Company: Well-funded legal tech startup backed by top-tier VCs.
- Benefits: Remote work, hybrid role, and opportunities to influence product architecture.
- Why this job: Join the forefront of AI innovation and make a real impact in a high-stakes industry.
- Qualifications: Experience in AI/Machine Learning with strong skills in LLM/NLP models and MLOps tools.
- Other info: Collaborative environment with mentorship opportunities and a focus on code quality.
The predicted salary is between 36000 - 60000 £ per year.
Company Description: Well-funded legal tech platform.
Job Description: As a Senior AI Engineer, you will design and deploy advanced NLP and LLM-based systems for complex domain-specific tasks. Bridging the gap between research and production, you will build scalable AI modules, optimize performance, and maintain robust MLOps pipelines. Your work will ensure the reliability and compliance of intelligence solutions in a sensitive, high-impact industry.
Location: Remote, UK.
Why this role is remarkable:
- Work at the forefront of AI innovation by applying state-of-the-art LLM and RAG techniques to complex, real-world professional data.
- Join a well-funded startup backed by top-tier VCs where you can influence the architectural direction of the core product.
- Benefit from a hybrid role that offers the intellectual challenge of applied research alongside the impact of deploying production-ready systems.
What you will do:
- Design and develop sophisticated NLP and LLM-based systems, including fine-tuning foundation models and implementing RAG architectures.
- Collaborate with Data and MLOps engineers to build automated CI/CD pipelines for model training, testing, and drift monitoring.
- Implement explainability, fairness, and bias mitigation strategies to ensure AI solutions meet strict regulatory and domain-specific requirements.
The ideal candidate:
- Proven experience as an AI or Machine Learning Engineer with a track record of taking LLM/NLP models from research to production.
- Technical expertise in transformer architectures, vector databases, and modern MLOps tools like Docker, Kubernetes, or Azure ML.
- Strong communication skills and a desire to mentor junior engineers while maintaining high standards for code quality and experimentation.
Next steps:
- Visit our website.
- Click 'Talk to Jack'.
- Talk to Jack so he can understand your experience and ambitions.
- Jack will make sure Jill (the AI agent working for the company) considers you for this role.
- If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
- If not, Jack will find you excellent alternatives. All for free.
Senior AI Engineer at Well-funded Legal Tech Platform employer: Jack and Jill AI
Contact Detail:
Jack and Jill AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer at Well-funded Legal Tech Platform
✨Tip Number 1
Make sure you know your stuff! Brush up on the latest NLP and LLM techniques, and be ready to discuss how you've applied them in real-world scenarios. This will show Jack that you're not just a theory buff but someone who can get things done.
✨Tip Number 2
Don’t underestimate the power of networking! Reach out to Jack and have a chat about your experience and ambitions. Building a rapport with him can really help you stand out when Jill is looking for candidates.
✨Tip Number 3
Be prepared to showcase your projects! Whether it’s through a portfolio or discussing past work, having tangible examples of your AI engineering skills will give you an edge. Show us what you’ve built and how it made an impact!
✨Tip Number 4
Finally, don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Follow the steps, talk to Jack, and let’s get you in front of Jill for this exciting opportunity!
We think you need these skills to ace Senior AI Engineer at Well-funded Legal Tech Platform
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with NLP and LLM systems. We want to see how you've taken models from research to production, so don’t hold back on the details!
Tailor Your Application: Make your application stand out by tailoring it to the role. Use keywords from the job description, like 'MLOps' and 'transformer architectures', to show that you’re a perfect fit for our team.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and ambitions. Remember, less is often more!
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to connect with you. Just click 'Talk to Jack' and let’s get the conversation started about your future with us!
How to prepare for a job interview at Jack and Jill AI
✨Know Your NLP and LLM Inside Out
Make sure you brush up on your knowledge of natural language processing and large language models. Be ready to discuss specific projects where you've designed or deployed these systems, and how you tackled challenges like fine-tuning models or implementing RAG architectures.
✨Showcase Your MLOps Skills
Since this role involves maintaining robust MLOps pipelines, be prepared to talk about your experience with tools like Docker, Kubernetes, or Azure ML. Share examples of how you've built automated CI/CD pipelines for model training and testing, and highlight any strategies you've used for drift monitoring.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practice explaining complex AI concepts in simple terms, as you may need to mentor junior engineers. Think of ways to demonstrate your ability to collaborate effectively with data and MLOps engineers during the interview.
✨Prepare for Ethical AI Discussions
Given the sensitive nature of the legal tech industry, be ready to discuss explainability, fairness, and bias mitigation strategies. Have examples from your past work where you ensured compliance with regulatory requirements, and be prepared to share your thoughts on the ethical implications of AI in this field.
