Back End Developer
Role details
Job location
Tech stack
Job description
experience as a data scientist and product manager, while Ellen has a background in health and nutrition. Entera is developing an AI platform that transforms complex laboratory data into clear, personal health reports. The system connects laboratories, doctors, and eventually patients in one environment. Laboratory results are processed automatically, interpreted by AI, and converted into structured reports based on validated medical knowledge. Entera recently signed its first partnership with a major laboratory in the Netherlands and is now building its first internal engineering team across Amsterdam and Madrid. Responsibilities: Design, build, and maintain end-to-end pipelines that transform raw laboratory data into structured, user-ready reports. Integrate AI model outputs into the pipeline, ensuring that results are reliably processed, validated, and incorporated into final reports. Build backend services (APIs, FastAPI) to handle inference, retrieval, and reporting, with proper
Requirements
version control, testing, and monitoring. Implement observability and monitoring for pipelines and services to catch errors and ensure smooth operation. Design and maintain databases and schemas (PostgreSQL) with safe migrations and reliable data storage. Collaborate closely with the founders and CTO to define priorities and roadmap for production system development. Requirements: University degree in Computer Science or related field. At least 4 years of software engineering experience building production systems. Strong Python skills and experience building backend services (FastAPI preferred). Experience with data pipelines, ingestion, validation, transformation, and routing. Familiarity with cloud deployment, containerization, and orchestration (Docker, Kubernetes, Terraform). Understanding of data privacy and European compliance regulations. Proven ability to deliver complete, reliable end-to-end systems independently. Nice to Have: Experience working with medical or life science data. Familiarity with LLM integration or retrieval-augmented generation. Experience with European AI models such as Mistral or Gemma. Our Stack: Python, FastAPI, PostgreSQL, React, Docker, Kubernetes, Terraform, OpenTelemetry, Langfuse, EU based cloud Work Setup: Hybrid - Amsterdam or Madrid in a WeWork office.