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- Tasks: Join a founding team to build scalable back-end architecture and AI tools.
- Company: Exciting start-up in biotechnology with proven concepts and initial investment.
- Benefits: Work in vibrant cities like Barcelona or London with flexible remote options.
- Why this job: Be part of a pioneering team making an impact in clinical workflows and AI development.
- Qualifications: Advanced Python skills, experience with ML applications, and knowledge of security in regulated spaces.
- Other info: Opportunity to work in an agile environment and collaborate across functions.
The predicted salary is between 48000 - 72000 £ per year.
I have partnered with an exciting start-up with a proven proof of concept and initial investment, who is now looking for an experienced senior engineer to join the founding team. Based in Barcelona or London with weekly onsite presence. The right candidate will have a holistic skillset with a focus on Back-end engineering. The role requires the engineer to work in a highly regulated space, taking R&D ML models, containerising these models (docker) and then deploying these into a production environment.
Your Tasks:
- Drive end-to-end technical solutions that enhance user experience in clinical workflows by building scalable back-end architecture, intuitive AI tools, and efficient APIs.
- Collaborate cross-functionally to ensure performance, security, and alignment with user needs.
Tech stack:
- Backend: Python - FastAPI.
- Databases: PostgreSQL, Vector Databases, Graph Databases.
- Infrastructure: Docker, Kubernetes.
- AI/ML: LangGraph, LlamaIndex, Torch.
- Frontend: TypeScript, React, Next.js, Modern CSS (Tailwind, Styled Components).
Your Experience:
- Advanced Python Engineering: able to deploy ML applications using containers (docker) into production.
- AI/ML: LLMs, Agentic AI Workflow development, RAG-based applications.
- Security: working in a highly regulated space, you ensure your code is secure.
- Agile working environment: you thrive in early-stage environments, can work speedily to a high quality.
Additional expertise:
- NLP and Machine learning, Cloud, DevOps and Security (OAuth2, encrypted data, or regulated environments).
- Life Science Compliance knowledge (GXP, GCP, AI Act etc).
- Experience with vector or graph databases.
Seniority Level: Mid-Senior level
Industry: Biotechnology Research, Pharmaceutical Manufacturing, Software Development
Employment Type: Full-time perm
Back End Product Engineer (Founding Engineer) employer: Umbilical Life
Contact Detail:
Umbilical Life Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Back End Product Engineer (Founding Engineer)
✨Tip Number 1
Familiarise yourself with the specific tech stack mentioned in the job description. Make sure you have hands-on experience with Python, FastAPI, Docker, and Kubernetes, as these are crucial for the role. Consider building a small project that showcases your ability to deploy ML applications using containers.
✨Tip Number 2
Highlight your experience in working within highly regulated environments. Be prepared to discuss how you've ensured security and compliance in your previous roles, especially if you've dealt with GXP or GCP standards. This will demonstrate your fit for the position.
✨Tip Number 3
Showcase your collaborative skills by preparing examples of how you've worked cross-functionally in past projects. Emphasise your ability to communicate effectively with both technical and non-technical team members, as this is key in a start-up environment.
✨Tip Number 4
Research the company and its mission thoroughly. Understanding their goals and how your skills can contribute to enhancing user experience in clinical workflows will help you stand out. Tailor your discussions to align your expertise with their vision during any interviews.
We think you need these skills to ace Back End Product Engineer (Founding Engineer)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with back-end engineering, particularly in Python and FastAPI. Include specific projects where you've deployed ML applications using Docker, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to work in highly regulated environments and your experience with AI/ML technologies. Mention your collaborative skills and how you can enhance user experience in clinical workflows.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects or experiences, especially those involving containerisation, cloud infrastructure, and compliance with life science regulations. This will demonstrate your fit for the role.
Highlight Soft Skills: Don't forget to mention your soft skills, such as adaptability and teamwork. The company is looking for someone who thrives in an agile working environment, so showcasing these traits can set you apart from other candidates.
How to prepare for a job interview at Umbilical Life
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, FastAPI, and containerisation using Docker. Highlight specific projects where you've deployed ML applications into production, as this will demonstrate your hands-on expertise.
✨Understand the Regulatory Environment
Since the role involves working in a highly regulated space, make sure you are familiar with relevant compliance standards like GXP and GCP. Be ready to discuss how you ensure security and compliance in your coding practices.
✨Demonstrate Collaboration Skills
This position requires cross-functional collaboration, so be prepared to share examples of how you've worked effectively with other teams. Discuss any experiences where you enhanced user experience through teamwork.
✨Familiarise Yourself with the Tech Stack
Make sure you have a good understanding of the entire tech stack mentioned in the job description, including PostgreSQL, Kubernetes, and AI/ML tools. Being able to speak knowledgeably about these technologies will set you apart.
