Senior Full Stack AI Engineer
Senior Full Stack AI Engineer

Senior Full Stack AI Engineer

Full-Time 70000 - 90000 ÂŁ / year (est.) No home office possible
Definely

At a Glance

  • Tasks: Design and deploy AI solutions for legal workflows, integrating advanced NLP techniques.
  • Company: Join Definely, a leading LegalTech innovator backed by top firms and tech giants.
  • Benefits: Enjoy competitive salary, share options, hybrid work, and generous holiday allowance.
  • Other info: Dynamic start-up environment with excellent growth opportunities and a focus on innovation.
  • Why this job: Make a real impact in legal technology while collaborating with a passionate team.
  • Qualifications: Experience with LLMs, strong Python skills, and a knack for problem-solving.

The predicted salary is between 70000 - 90000 ÂŁ per year.

We are looking for a Senior Full Stack AI Engineer to join our AI team and help us build cutting‑edge legal solutions for some of the world’s largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, large language model (LLM) agents, and programming, alongside full‑stack development, to push the boundaries of legal technology. You’ll be collaborating closely with ML engineers, software engineers, and domain experts to integrate advanced NLP techniques into our products and deliver end‑to‑end user‑facing experiences.

You have strong front‑end (JS) and back‑end (Python, .NET, etc.) development skills, and are comfortable working across both backend systems and user‑facing interfaces, taking ownership of features from idea to production. It’s a role for someone who is comfortable working in a fast‑paced, sometimes ambiguous environment, enjoys solving complex problems, and wants to have a direct impact on product and technical direction.

What you’ll do:

  • Designing and deploying LLM agents and agentic architectures to automate complex legal workflows
  • Building and maintaining scalable, production‑grade systems that are reliable, secure, maintainable, and observable
  • Working across the full stack to integrate AI capabilities into user‑facing products
  • Owning features end‑to‑end, from prototyping through to production and iteration
  • Collaborating closely with ML engineers, software engineers, and domain experts to bring AI‑driven features into the product
  • Contributing to the direction of our AI initiatives by staying up to date with developments in NLP, machine learning, agentic systems, and full‑stack technologies

What you’ll bring:

  • Experience working with LLMs in production and integrating ML/LLM components into product systems (streaming, async jobs, state, caching, evaluation)
  • Strong Python (ideally .NET, C# as well) backend development skills, with experience building APIs and services, and comfort contributing to front‑end applications
  • A solid understanding of software development principles, including design patterns, data structures, and algorithms
  • Experience using AI tools (such as Claude Code, Cursor, Codex) and interest in leveraging them to improve engineering efficiency
  • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and non‑technical audiences
  • A strong appreciation of Kubernetes, Infrastructure as Code, GitOps, CI/CD practices, and cloud infrastructure (AWS or GCP)
  • Comfort working in a fast‑paced, sometimes ambiguous start‑up environment with changing priorities

What we can offer you:

  • Competitive salary & annual bonus
  • Share options
  • Quarterly team socials & annual company offsite
  • Hybrid working + 1 month “work from anywhere”
  • 25 days holiday + bank holidays
  • Take your birthday off
  • ÂŁ750 annual learning & development budget
  • Private healthcare (incl. dental & optical)
  • Enhanced parental leave
  • Additional perks: Cycle to Work, Workplace Nursery salary sacrifice scheme, and top‑quality equipment

Definely is revolutionising how legal professionals access and understand information in complex documents. Our LegalTech solutions integrate directly into legal workflows, enabling teams to draft, review, and interpret contracts more efficiently, without breaking focus. We’re proud to be recognised among the Top 25 in Deloitte’s UK Technology Fast 50 and backed by Revaia, Microsoft, Google, and Octopus Ventures. Trusted by top firms like A&O Shearman, Dentons, Deloitte, and Barclays, we’re building tools that empower legal teams to work smarter and reduce risk. At Definely, you’ll be part of a mission‑driven, collaborative, and ambitious team committed to innovation and growth.

Senior Full Stack AI Engineer employer: Definely

At Definely, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our generous learning and development budget, alongside flexible working arrangements that include hybrid options and the unique opportunity to work from anywhere for a month each year. Join us in revolutionising legal technology while enjoying competitive salaries, comprehensive benefits, and a supportive team environment that values your contributions.
Definely

Contact Detail:

Definely Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Full Stack AI Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Definely and contributing to our mission.

We think you need these skills to ace Senior Full Stack AI Engineer

Machine Learning
Natural Language Processing (NLP)
Large Language Model (LLM) agents
Full-Stack Development
JavaScript (JS)
Python
.NET
API Development
Software Development Principles
Design Patterns
Data Structures
Algorithms
AI Tools (e.g., Claude Code, Cursor, Codex)
Kubernetes
Infrastructure as Code
CI/CD Practices
Cloud Infrastructure (AWS or GCP)
Strong Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Full Stack AI Engineer role. Highlight your expertise in machine learning, NLP, and full-stack development to show us you’re the perfect fit!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about legal tech and how your background aligns with our mission. Share specific examples of projects where you’ve integrated AI capabilities or worked with LLMs.

Showcase Your Projects: If you’ve got any relevant projects or contributions to open-source work, don’t hold back! Include links or descriptions to demonstrate your hands-on experience with technologies like Python, .NET, and AI tools.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!

How to prepare for a job interview at Definely

✨Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, .NET, and JavaScript. Brush up on your experience with LLMs and be ready to discuss how you've integrated machine learning components into production systems.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of complex problems you've solved in previous roles. Think about how you approached these challenges and the impact your solutions had on the project or team.

✨Communicate Clearly

Practice explaining technical concepts in a way that’s easy for non-technical folks to understand. This will demonstrate your strong communication skills and ability to collaborate with diverse teams, which is crucial for this role.

✨Embrace the Ambiguity

Since the role involves working in a fast-paced and sometimes ambiguous environment, be ready to discuss how you handle changing priorities. Share examples of how you’ve adapted to new situations and maintained productivity under pressure.

Senior Full Stack AI Engineer
Definely

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