Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI solutions and engage directly with clients to solve real-world problems.
- Company: Rapidly growing Legal AI software company transforming the legal industry.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a tangible impact in the legal tech space.
- Qualifications: Experience in AI/ML, strong communication skills, and customer-facing engineering experience.
- Other info: Exciting opportunity to work at the forefront of legal technology innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: London (Hybrid, 2–3 days onsite)
Company: Late-Stage Scaleup in Legal AI Software
Our client, a global rapidly expanding Legal AI software company backed by top-tier investors, is transforming how legal teams operate through intelligent automation and applied AI. They are hiring 2 x customer‑facing, hands‑on Python Engineer / Data Scientists to join their brand new Forward Deployed team in London. This role sits at the intersection of engineering, data, and client delivery, ideal for someone who thrives in technical problem‑solving while working directly with enterprise customers. You should expect the role to be 50% hands‑on coding. As a Forward Deployed technologist, you will work with real customers on real problems, delivering bespoke, high‑impact solutions.
Responsibilities
- Working closely with Technical and Legal Architects to qualify, scope, and execute bespoke client development requests.
- Rapidly prototyping solutions using APIs, large language models, and supporting technologies to demonstrate feasibility and value.
- Building and adapting integrations that fit into complex client environments, ensuring smooth onboarding and adoption.
- Engaging directly with client technical teams to troubleshoot, debug, and optimise deployments in real time.
- Translating experimental R&D concepts into production‑quality code that can evolve into productised features.
- Maintaining a strong feedback loop between client engagements and core engineering to ensure real‑world learnings influence the product roadmap.
- Balancing speed and stability, knowing when to produce a quick proof of concept and when to harden code for long‑term reliability.
- Collaborating with legal architects, product managers, and researchers to push the boundaries of AI‑enabled legal technology.
Qualifications
- Experience with AI/ML workflows, NLP, or LLM‑driven solutions.
- Strong communication skills and confidence working directly with both technical and non‑technical customer stakeholders.
- Ability to own problems end‑to‑end, from diagnosis to delivery.
- Experience in a customer‑facing engineering / forward‑deployed environment.
- Bonus: exposure to legal tech, enterprise SaaS, or complex integration projects.
Please apply with your CV if interested. If you have any exposure to Legal Tech please email mike@thedeveloperlink.io for faster review.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Legal Services
AI/ML Engineer (Customer Facing, FDE, Python AI Agent/LLM) employer: The Developer Link
Contact Detail:
The Developer Link Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer (Customer Facing, FDE, Python AI Agent/LLM)
✨Tip Number 1
Get your networking game on! Connect with people in the legal tech space, especially those who work at companies like the one you're applying to. Attend industry events or webinars, and don't be shy about reaching out on LinkedIn. A personal connection can make all the difference!
✨Tip Number 2
Show off your skills in real-time! If you get the chance, ask for a technical interview where you can demonstrate your coding abilities. Prepare some quick prototypes or solutions using Python and AI/ML concepts to impress them with your hands-on experience.
✨Tip Number 3
Be ready to discuss your past projects! Think of examples where you've tackled complex problems, especially in customer-facing roles. Highlight how you’ve collaborated with clients and delivered impactful solutions, as this will resonate well with the hiring team.
✨Tip Number 4
Don’t forget to follow up! After interviews, send a thank-you email expressing your enthusiasm for the role. Mention something specific from your conversation to remind them of your fit for the position. And remember, apply through our website for the best chance!
We think you need these skills to ace AI/ML Engineer (Customer Facing, FDE, Python AI Agent/LLM)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with AI/ML workflows and any customer-facing projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled technical challenges in the past. We love seeing candidates who can own problems from diagnosis to delivery, so don’t hold back on those success stories!
Communicate Clearly: Since this role involves working with both technical and non-technical stakeholders, make sure your application reflects strong communication skills. Use clear language and avoid jargon where possible – we want to understand your thought process!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at The Developer Link
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, AI/ML workflows, and NLP. Brush up on your coding skills and be ready to discuss how you've used these technologies in real-world scenarios, especially in customer-facing roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex technical problems, particularly in client environments. Be ready to explain your thought process and the impact of your solutions on customer satisfaction.
✨Communicate Clearly and Confidently
Since this role involves working with both technical and non-technical stakeholders, practice explaining your ideas in simple terms. Good communication can set you apart, so think about how you can convey complex concepts clearly.
✨Demonstrate Your Customer Focus
Highlight your experience in customer-facing roles and how you’ve engaged with clients to deliver tailored solutions. Be prepared to discuss how you maintain a feedback loop between client needs and engineering teams.
