It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries, including healthcare, to optimize processes, improve customer experiences, and support innovation. It integrates easily with existing systems, making it easier for teams to make quick, data-driven decisions to deliver cutting-edge solutions. Bachelor’s or Master’s degree in Computer Science or a related field. ~ Strong Python coding skills
- 7+ years. ~2+ years of hands-on experience with machine learning and production LLM systems. ~ Experience building backend APIs with FastAPI, async patterns, rate limiting, and SQLAlchemy
- 3+ years. ~ Experience with vector databases such as Pinecone, Weaviate, or Chroma, as well as hybrid search. ~ Strong understanding of RAG architectures, including retrieval, reranking, context assembly, and response generation. ~ Advanced Python skills, including async/await, type hints, Pydantic, and SOLID principles. ~ MLOps experience with MLflow, model versioning, and A/B testing; Familiarity with database technologies such as SQL. ~ Understanding of DevOps, CI / CD including: Docker containerization, Azure DevOps pipelines or GitHub Actions, Kubernetes (nice to have); Data security including: Multi-tenant data isolation, Secure key management (Azure Key Vault), Audit trail implementation; Experience in designing on cloud platform including: Azure (strongly preferred): Azure OpenAI, Blob Storage, Key Vault, Container Registry, AWS or GCP; Experience in data engineering in Big Data systems including:



Large-scale data processing, ETL/ELT pipelines. Testing strategies for non-deterministic LLM outputs (e.g., develop and implement scalable backend systems, APIs, and microservices using FastAPI. Integrate Azure OpenAI (GPT-4, GPT-4 Vision) and other LLM providers with proper retry logic and error handling. Scale machine learning algorithms to work on massive data sets under strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing, and continuous model training. Write backend application code in Python and SQL using strong object-oriented principles and asynchronous programming (asyncio, async/await). Implement Celery (or similar) workflows for asynchronous task processing and complex pipelines. Build multi-tenant architectures with client data isolation. document/OCR services, cloud storage, enterprise systems). Ensure high quality of deliverables by following architecture/design guidelines, coding best practices, and periodic design/code reviews. Write unit tests and higher-level tests to handle expected edge cases and errors gracefully. Troubleshoot backend application code using structured logging and distributed tracing. Use bug tracking, code review, version control, and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, communicating progress, issues, and dependencies. Awesome projects with an impact Workshops, trainings, expert knowledge-sharing that keep you growing Adaptable hours & work setup
- work from anywhere and organize your day your way

📌 Senior Python Backend Developer (España)
🏢 Intellectsoft
📍 España