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- Tasks: Build AI-driven features and maintain backend systems in a hybrid work environment.
- Company: Join a pioneering team redefining legal tech with cutting-edge AI solutions.
- Benefits: Enjoy a competitive salary, equity options, and a collaborative culture.
- Why this job: Work on impactful projects at the intersection of law and AI in a high-trust environment.
- Qualifications: 4+ years in backend or AI engineering; experience with LLMs and strong Python skills required.
- Other info: Opportunity to shape product and culture while tackling real-world legal challenges.
The predicted salary is between 43200 - 72000 £ per year.
Role: AI Engineer
Location: Edinburgh (Hybrid: 3 days in-office, 2 remote)
Mission:
Join us in redefining how legal teams work by building state-of-the-art AI-native experiences powered by Large Language Models. As a Senior AI Engineer, you’ll work across backend systems, evaluation frameworks, and agentic LLM workflows to create scalable, secure, and continuously improving AI features. You’ll partner closely with design, product, and legal teams to bring thoughtful, high-impact functionality to life.
Key Responsibilities:
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Build and maintain core backend systems and APIs powering LLM-driven features
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Design and implement evaluation pipelines to assess and optimize model performance
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Prototype and productionize agentic workflows that leverage tool usage and chaining
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Experiment with, tune, and benchmark different LLMs (e.g., OpenAI, HuggingFace, LangChain)
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Automate model evaluation and integrate insights into the dev lifecycle
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Support semantic search, data extraction, and document analysis use cases
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Collaborate with legal engineers and product to build secure and compliant AI systems
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Contribute to architectural decisions, internal tooling, and team best practices
Experience & Qualifications:
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4+ years of backend or AI-focused engineering experience
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Hands-on experience working with LLMs and related frameworks (LangChain, LangGraph, etc.)
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Strong programming skills—Python preferred; experience with APIs and cloud infra is a plus
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Proven track record designing evaluation frameworks and tuning model performance
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Solid understanding of data privacy, system integrity, and scalable architecture
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Experience with semantic search, retrieval pipelines, or document-based AI systems is a bonus
Nice to Have:
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Exposure to legal tech, compliance tools, or privacy-centric workflows
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Familiarity with ML frameworks (e.g. PyTorch, Scikit-learn)—helpful but not required
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Interest in prompt engineering, user intent modeling, or AI agent design
What We Offer:
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A high-trust, high-impact environment with ownership over mission-critical AI systems
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Challenging product problems at the intersection of law, language, and intelligence
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A collaborative team of engineers, designers, and legal experts building something new
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Competitive salary, meaningful equity, and a say in shaping both product and culture
Who You Are:
You’ve worked at the cutting edge of AI or backend systems and are excited about applying that experience to real-world legal challenges. You’re hands-on, evaluation-obsessed, and motivated by tangible user outcomes. You thrive in fast-moving environments and enjoy defining best practices as you go.
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Senior AI Engineer employer: Wordsmith AI Ltd
Contact Detail:
Wordsmith AI Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in Large Language Models (LLMs) and their applications in legal tech. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and legal tech fields. Attend relevant meetups, webinars, or conferences to connect with potential colleagues and learn about industry trends that could give you an edge in your application.
✨Tip Number 3
Showcase your hands-on experience with LLMs by working on personal projects or contributing to open-source initiatives. This practical experience can be a great talking point in interviews and demonstrate your commitment to the field.
✨Tip Number 4
Prepare to discuss your approach to building secure and compliant AI systems. Given the legal context of the role, being able to articulate your understanding of data privacy and system integrity will set you apart from other candidates.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and backend engineering. Focus on projects where you've worked with Large Language Models and any specific frameworks mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their mission to redefine legal teams through AI, and mention specific experiences that demonstrate your skills.
Showcase Relevant Projects: If you have worked on projects involving LLMs, APIs, or evaluation frameworks, be sure to include these in your application. Provide links to your GitHub or portfolio if applicable, as this can give them insight into your hands-on experience.
Highlight Collaboration Skills: Since the role involves working closely with design, product, and legal teams, emphasise your teamwork and collaboration skills. Share examples of how you've successfully partnered with cross-functional teams in past roles.
How to prepare for a job interview at Wordsmith AI Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Large Language Models and related frameworks. Highlight specific projects where you've designed evaluation frameworks or optimised model performance, as this will demonstrate your technical expertise.
✨Understand the Legal Context
Since the role involves redefining how legal teams work, it’s beneficial to familiarise yourself with legal tech and compliance tools. Showing an understanding of how AI can impact the legal field will set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to tackle challenging product problems during the interview. Practice articulating your thought process when faced with complex scenarios, especially those that involve backend systems and AI functionalities.
✨Demonstrate Collaboration Skills
This role requires close collaboration with design, product, and legal teams. Be ready to share examples of how you've successfully worked in cross-functional teams and contributed to architectural decisions or best practices.
