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- Tasks: Build AI-driven features for legal teams using Large Language Models.
- Company: Join Scotland's fastest-growing startup, recently funded with a Series A.
- Benefits: Enjoy hybrid work, competitive salary, equity, and a collaborative culture.
- Why this job: Shape the future of legal tech while tackling exciting challenges in AI.
- Qualifications: 4+ years in backend or AI engineering; strong Python skills required.
- Other info: Opportunity to influence product and culture in a high-impact environment.
The predicted salary is between 43200 - 72000 £ per year.
JOIN SCOTLAND’s FASTEST GROWING STARTUP. We’ve just secured a whopping Series A—come help us shape what’s next.
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:
- Build and maintain core backend systems and APIs powering LLM-driven features
- Design and implement evaluation pipelines to assess and optimize model performance
- Prototype and productionize agentic workflows that leverage tool usage and chaining
- Experiment with, tune, and benchmark different LLMs (e.g., OpenAI, HuggingFace, LangChain)
- Automate model evaluation and integrate insights into the dev lifecycle
- Support semantic search, data extraction, and document analysis use cases
- Collaborate with legal engineers and product to build secure and compliant AI systems
- Contribute to architectural decisions, internal tooling, and team best practices
Experience & Qualifications:
- 4+ years of backend or AI-focused engineering experience
- Hands-on experience working with LLMs and related frameworks (LangChain, LangGraph, etc.)
- Strong programming skills—Python preferred; experience with APIs and cloud infra is a plus
- Proven track record designing evaluation frameworks and tuning model performance
- Solid understanding of data privacy, system integrity, and scalable architecture
- Experience with semantic search, retrieval pipelines, or document-based AI systems is a bonus
Nice to Have:
- Exposure to legal tech, compliance tools, or privacy-centric workflows
- Familiarity with ML frameworks (e.g. PyTorch, Scikit-learn)—helpful but not required
- Interest in prompt engineering, user intent modeling, or AI agent design
What We Offer:
- A high-trust, high-impact environment with ownership over mission-critical AI systems
- Challenging product problems at the intersection of law, language, and intelligence
- A collaborative team of engineers, designers, and legal experts building something new
- 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.
Senior AI Engineer employer: Wordsmith AI
Contact Detail:
Wordsmith AI 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 sectors. Attend relevant meetups or webinars, and connect with current employees at StudySmarter on LinkedIn to gain insights into the company culture and expectations for the Senior AI Engineer role.
✨Tip Number 3
Prepare to discuss your hands-on experience with backend systems and APIs. Be ready to share specific examples of projects where you've implemented LLMs or designed evaluation frameworks, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Showcase your understanding of data privacy and compliance in AI systems. Given the legal context of the role, being able to articulate how you would ensure security and integrity in AI solutions 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 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: Write a cover letter that showcases your passion for AI and legal tech. Mention specific experiences that align with the responsibilities of the role, such as designing evaluation frameworks or working with APIs.
Showcase Technical Skills: In your application, emphasise your programming skills, particularly in Python. Include examples of how you've used LLMs and any relevant tools or frameworks to solve complex problems.
Highlight Collaboration Experience: Since the role involves working closely with design, product, and legal teams, include examples of past collaborations. Describe how you contributed to team projects and the impact of your work on user outcomes.
How to prepare for a job interview at Wordsmith AI
✨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 crucial to have a basic understanding of legal tech and compliance tools. Research the intersection of AI and law to show that you can contribute meaningfully to discussions with legal engineers.
✨Demonstrate Collaboration Skills
This position requires close collaboration with design, product, and legal teams. Prepare examples of past experiences where you've successfully worked in cross-functional teams, showcasing your ability to communicate effectively and drive projects forward.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, especially in relation to AI systems. Think of scenarios where you've tackled complex challenges, particularly those involving backend systems or AI workflows, and be ready to explain your thought process.
