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Back End Product Engineer (Founding Engineer)
Umbilical Life
London
Hybrid
GBP 50,000 - 90,000
Full time
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Job summary
An exciting start-up in the biotechnology sector is seeking a talented senior engineer to join their founding team. This role focuses on back-end engineering, particularly in deploying machine learning models into production environments using Docker and Kubernetes. You will drive technical solutions that enhance user experience in clinical workflows and collaborate with cross-functional teams to ensure security and performance. If you thrive in a fast-paced, innovative environment and have a passion for AI development, this is the perfect opportunity for you to make a significant impact in an emerging field.
Qualifications
- Experience in deploying ML applications using Docker containers.
- Proficiency in Python and back-end architecture development.
Responsibilities
- Build scalable back-end architecture and intuitive AI tools.
- Collaborate to ensure performance and security in clinical workflows.
Skills
Education
Tools
Job description
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, containerize these models (docker) and then deploy 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.
Keywords: Product Engineering, Back-end Architecture, AI Development, front-end integration, Pipeline Scalability & Performance, Collaboration.
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 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
Summary:
- Seniority Level: Mid-Senior level
- Industry:
- Biotechnology Research
- Pharmaceutical Manufacturing
- Software Development
- Employment Type: Full-time perm
- Keywords:
- Docker Products
- Product Engineering
- Python (Programming Language)
- Machine Learning
- FastAPI
- Kubernetes
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