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- Tasks: Develop AI-powered legal tech, building APIs and scaling systems for real-world applications.
- Company: Join a fast-growing startup backed by top-tier VCs, revolutionising legal assistance with AI.
- Benefits: Enjoy remote work flexibility, a dynamic culture, and opportunities for rapid career growth.
- Why this job: Be part of a mission-driven team making legal help accessible while working on cutting-edge technology.
- Qualifications: Strong Python skills, experience with scalable systems, and familiarity with cloud platforms required.
- Other info: Bonus points for ML Ops experience and a passion for experimenting with new ideas.
The predicted salary is between 48000 - 84000 £ per year.
We’re building the future of AI-powered legal tech — including one of the world’s first AI lawyers, built on a fine-tuned LLM's and novel AI research. We’re looking for a Senior Software Engineer to help us bring cutting-edge machine learning into the hands of real users at scale. You’ll be part of a mission-driven team using AI to make legal help radically more accessible.
Backed by top-tier VCs and a substantial Series A funding round, we’re growing fast — and we want brilliant engineers to grow with us.
What you’ll be working on:
- Building robust, production-ready APIs and services that deliver AI functionality across our platform
- Scaling AI systems for real-world legal use cases (document analysis, case prediction, automated advice)
- Collaborating with AI researchers and engineers to deploy models into production
- Working with event-driven architectures and async workflows to handle large-scale AI tasks
- Ensuring observability, reliability, and compliance in high-stakes environments
You should have:
- Strong Python skills and experience building scalable backend systems
- Solid understanding of API design and distributed architectures
- Familiarity with event-driven tools (e.g., Kafka, Pub/Sub, AWS Step Functions)
- Experience working with cloud platforms (AWS, GCP)
- A proactive approach to performance, observability, and debugging
Bonus points for:
- ML Ops experience or experience deploying ML models to production
- Familiarity with vector databases or AI model serving
Our engineering culture:
- Ship daily – we release fast and iterate even faster
- Empathise with users – we build for lawyers and clients with deeply human problems
- Strive for excellence – we want to build a generational company, and that means high standards
- Experiment and learn – we’re on the frontier of applied AI, and we’re always testing new ideas
- Remote-friendly
Remote Senior Software Engineer (Python and Data) employer: Heart Mind Talent
Contact Detail:
Heart Mind Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Software Engineer (Python and Data)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and legal tech. Understanding how AI is transforming the legal landscape will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Showcase your experience with Python and backend systems by preparing examples of past projects. Be ready to discuss specific challenges you faced and how you overcame them, especially in relation to scalability and performance.
✨Tip Number 3
Brush up on your knowledge of event-driven architectures and tools like Kafka or AWS Step Functions. Being able to speak confidently about these technologies will set you apart from other candidates.
✨Tip Number 4
Connect with current employees on LinkedIn or other platforms to gain insights into the company culture and expectations. This can provide you with valuable information that you can use to tailor your approach during the interview process.
We think you need these skills to ace Remote Senior Software Engineer (Python and Data)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python skills and experience with scalable backend systems. Include specific projects or roles where you built APIs or worked with distributed architectures.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and legal tech. Mention how your background aligns with the company's mission to make legal help more accessible and provide examples of relevant experience.
Showcase Relevant Projects: If you have experience with event-driven tools or cloud platforms, include links to projects or repositories that demonstrate your skills. This could be GitHub links or case studies that showcase your work.
Highlight Soft Skills: Since the company values empathy and collaboration, mention any experiences where you worked in a team or engaged with users to understand their needs. This will show that you align with their engineering culture.
How to prepare for a job interview at Heart Mind Talent
✨Showcase Your Python Expertise
Make sure to highlight your strong Python skills during the interview. Be prepared to discuss specific projects where you've built scalable backend systems, and consider sharing code snippets or examples that demonstrate your proficiency.
✨Understand API Design
Since the role involves building robust APIs, brush up on your knowledge of API design principles. Be ready to explain how you would approach designing an API for a legal tech application, focusing on scalability and usability.
✨Familiarity with Event-Driven Architectures
Demonstrate your understanding of event-driven tools like Kafka or AWS Step Functions. You might be asked about your experience with these technologies, so prepare examples of how you've used them in past projects to handle large-scale tasks.
✨Emphasise Collaboration with AI Researchers
This position requires collaboration with AI researchers and engineers. Be ready to discuss how you've worked in cross-functional teams before, and share any experiences where you successfully deployed machine learning models into production.
