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- Tasks: Build and scale AI-driven automation platforms for legal tech.
- Company: Llamalab is revolutionising the intersection of medicine, law, and data with AI.
- Benefits: Enjoy ownership opportunities and work in a fast-paced startup environment.
- Why this job: Make a direct impact on transforming medical-legal workflows with cutting-edge technology.
- Qualifications: Expertise in Node.js, Python, React Native, and cloud services required.
- Other info: Work closely with the CEO and CTO in an agile development setting.
The predicted salary is between 36000 - 60000 £ per year.
Llamalab is an AI-driven automation company revolutionising the intersection of medicine, law, and data. Our platform streamlines medical record retrieval and analysis for legal professionals, leveraging cutting-edge AI for compliance, efficiency, and accuracy.
We are seeking a Senior Full-Stack Engineer to build and scale our AI-driven automation platform, integrating with third-party services (Salesforce, OpenAI, Anthropic, LlamaIndex, etc.) and deploying cloud-based applications. This role is ideal for an engineer who thrives in fast-paced, high-impact environments and wants to shape the future of medical-legal automation.
Key Responsibilities- Software Development & Cloud Integration
- Build and maintain scalable solutions using Node.js, Python, and React Native (Tamagui).
- Architect and manage a Firebase backend (Firestore, Functions, Authentication).
- Deploy and optimise cloud applications on AWS, GCP, or Azure.
- Develop integrations with AI models (OpenAI, Anthropic, Hugging Face, LlamaIndex).
- Build secure authentication and data synchronisation pipelines with services like Salesforce.
- Optimise AI-driven document parsing, search, and automation workflows.
- Work directly with the CEO and CTO to define requirements and execute strategic projects.
- Take full ownership of projects, ensuring timely delivery and scalability.
- Follow agile methodologies, using Jira, Confluence, and Git-based workflows.
- Expertise in: Node.js, Python, React Native (Tamagui preferred).
- Cloud Proficiency: Experience with AWS, GCP, or Azure.
- Database Management: Strong experience with Firebase.
- API & Security: Skilled in OAuth, REST, GraphQL, and third-party integrations.
- AI Experience: Familiarity with OpenAI APIs, Anthropic, Hugging Face, LlamaIndex.
- Collaboration & Ownership: Ability to work independently, own projects, and present solutions to leadership.
- Work on cutting-edge AI automation in legal tech.
- Direct impact on transforming medical-legal workflows.
- Fast-growing, high-impact startup with ownership opportunities.
If you’re a self-driven engineer passionate about AI, automation, and scaling complex systems, we’d love to hear from you!
Full Stack Engineer employer: llamalab
Contact Detail:
llamalab Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Node.js, Python, and React Native. Having hands-on experience or projects showcasing these skills can significantly boost your chances.
✨Tip Number 2
Engage with the AI and legal tech communities online. Join forums, attend webinars, or participate in discussions related to AI-driven automation in legal tech. This not only expands your knowledge but also helps you network with industry professionals.
✨Tip Number 3
Showcase your project ownership experience. Be prepared to discuss past projects where you took the lead, especially those involving cloud integration or AI services. This demonstrates your ability to manage responsibilities effectively.
✨Tip Number 4
Research Llamalab and its mission. Understanding their goals and how they leverage AI in legal tech will allow you to tailor your conversations during interviews, showing that you're genuinely interested in contributing to their vision.
We think you need these skills to ace Full Stack Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Node.js, Python, and React Native. Include specific projects where you've integrated third-party services or deployed cloud applications, as this aligns closely with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and automation in legal tech. Mention how your skills can contribute to Llamalab's mission and provide examples of past projects that demonstrate your ability to work independently and take ownership.
Showcase Relevant Projects: If you have a portfolio or GitHub repository, include links to relevant projects that showcase your expertise in cloud integration, AI models, and agile development. This will give the hiring team a clear view of your capabilities.
Highlight Collaboration Skills: Since the role involves working directly with leadership, emphasise your collaboration skills in your application. Provide examples of how you've successfully worked with teams or stakeholders to deliver projects on time.
How to prepare for a job interview at llamalab
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Node.js, Python, and React Native. Bring examples of past projects where you've successfully implemented these technologies, especially in cloud environments like AWS or GCP.
✨Demonstrate Your AI Knowledge
Since the role involves integrating AI models, make sure you can talk about your experience with OpenAI, Anthropic, or similar technologies. Highlight any specific projects where you've used these tools to solve real-world problems.
✨Emphasise Project Ownership
The company values engineers who take ownership of their projects. Be ready to share instances where you've led a project from conception to delivery, detailing how you managed timelines and collaborated with stakeholders.
✨Familiarise Yourself with Agile Methodologies
Understanding agile practices is crucial for this role. Brush up on your knowledge of tools like Jira and Confluence, and be prepared to discuss how you've applied agile methodologies in your previous work.
