Mid Full-Stack​/Backend Developer

eChemLabs is looking for a talented
Mid Full-Stack / Backend Developer
to join its product team. This is a unique opportunity to become part of a high-performing group developing a cutting-edge product used by organizations at the forefront of scientific innovation.

eChemLabs' mission is to accelerate the development of
electrochemical solutions
through an intelligent platform powered by
AI and Foundation Models
. In this role, you will collaborate closely with the
AI/Foundation Model Architect
to integrate advanced AI capabilities into production-level backend services. You will play a key role in designing and building a reliable, scalable, and efficient backend infrastructure to support modeling and analysis of electrochemical data.

This is a
remote-first
position based in the
EU
, requiring less than
20% travel
.

• Collaborate closely with the
  AI/Foundation Model Architect
  to integrate foundation models, pipelines, and inference APIs into the backend.
• Develop and maintain scalable REST/GraphQL APIs and microservices.
• Design and implement robust data pipelines for structured input/output data.
• Work on integrations with vector stores, databases, and external APIs.
• Contribute to architectural discussions and Dev Ops infrastructure (CI/CD, cloud deployments).
• Apply best practices for performance, observability, and cost efficiency.
• Actively participate in product development, providing technical insight and feedback.

• 3-5 years of experience in full-stack or backend development, ideally in a startup environment.
• Strong proficiency in
  Python (FastAPI, Flask, or Django)or
  Node.js (NestJS, Express).
• Experience with
  databases
  such as PostgreSQL, MongoDB, or other No
  
  SQL systems.
• Solid understanding of
  API design principles
  , authentication, and security.
• Basic familiarity with
  AI/ML pipelines
  or integration with AI APIs (OpenAI, Hugging Face, etc.).
• Experience with
  Docker
  ,
  CI/CD pipelines
  , and
  cloud platforms (AWS, GCP, Azure).
• Ability to work independently, with strong attention to detail and execution speed.

• Experience with
  front-end frameworks
  (React, Next.js, or Vue) to support full-stack flows.
• Understanding of
  RAG
  , vector embeddings, and LLM integration concepts.
• Prior experience working on
  AI-driven products
  or
  data-intensive systems
  .
• Knowledge of performance optimization, caching strategies, and API cost management.
• Interest in
  scientific or electrochemical applications
  is a plus.

• Work on a
  deep-tech
  product combining
  AI and scientific innovation
  .
• Collaborate directly with
  experts in Foundation Models and AI architecture
  .
• Join a
  remote-first
  environment with a strong culture of collaboration and autonomy.
• Opportunity to make a tangible impact in a startup developing core technologies for the science of tomorrow.