AI Software Engineer - Matemático / Físico / Ingeniero

hace 4 días

Madrid

👋 Who are we? Founded in 2012, Take a Chef was born from the belief that exceptional culinary experiences should be accessible beyond traditional restaurant settings. We envisioned a world where top-tier chefs could bring their talents directly to the dining tables of discerning individuals and families. 🍽️ Combining cutting-edge technology 💻 with a deep passion for food and hospitality ❤️🔥, we’ve become the leading global platform for high-quality private chef services. Last year, we served over 500,000 clients in more than 100+ countries, working with a network of 70,000+ private chefs and partnering with renowned luxury travel brands like Airbnb, Onefinestay, Le Collectionist 🎯 About the role At Take a Chef, we are looking for an AI Software Engineer to program, deploy, and maintain these end-to-end services. Someone who is comfortable writing microservices in FastAPI / Django, integrating LLMs and real data pipelines, orchestrating multi-step intelligent agents, packaging everything in Docker, and getting it ready for production in cloud / on-prem. ✅ Requirements • Academic Background: Degree in Computer Engineering, Software Engineering, Computer Science or Physics / Mathematics with real experience in backend development., • Years of experience: 1-2 years developing software in Python in real environments. Technical Knowledge 🖥️ Backend in Python • FastAPI (routers, dependencies, Pydantic validation)., • Django / Django REST Framework is a plus., • Design of clean and documented REST APIs. 🐳 Infra and deployment • Docker (Dockerfile, docker-compose, secure environment variables)., • Preparing services for production: structured logging, error control, timeouts, token/API key authentication., • Work with PostgreSQL or other relational databases. 🤖 Generative AI, RAG and Agents • Use of LLMs (OpenAI / Azure OpenAI / Bedrock / open source models served locally)., • Understanding real limits of an LLM: cost per token, latency, context., • Knowledge of prompting, embeddings and frameworks like LangChain or LlamaIndex., • Knowledge of RAG architectures: Embeddings, semantic retrieval, grounding, interaction with vector databases (Qdrant, Milvus, FAISS, Pinecone…). 🛠️ Knowledge of machine learning frameworks and libraries • Experience in using data science libraries (TensorFlow, PyTorch, pandas, NumPy, scikit-learn). Work Methodologies ⚙️ Fast iteration work, frequent releases, product mindset. 👥 Direct collaboration with the Head of AI and other business/tech teams. 🔁 Familiarity with agile practices (Scrum / Kanban). Personal Skills 🧠 Structured thinking and technical judgment. 🧠 Ability to solve complex problems and analytical thinking. 💬 Effective communication skills to collaborate with multidisciplinary teams. Valued ☁️ Basic experience with AWS (ECS Fargate, RDS Postgres, S3) or on-prem with containers. 📊 Observability / metrics (OpenTelemetry, Prometheus, CloudWatch, etc.). 🔄 CI/CD (GitHub Actions, Bitbucket Pipelines). 📈 Fundamentals of evaluation: knowing how to measure if the system really improves (accuracy, factuality, cost). 🌟 Why choose us? 🏢 Positive Work Environment – A collaborative, innovative culture that values well-being and team spirit. ⚖️ Work-Life Balance – Flexibility and support so you can grow personally and professionally. 📚 Employee Development – Access to training and workshops to expand your skills. 💰 Competitive Compensation – Attractive salary plus annual performance bonuses. 🌴 Paid Time Off – 25 vacation days per year to recharge.

Asesor/a Inmobiliario/a SIN EXPERIENCIA - ESTUDIO VIRGEN DE BEGOÑA-FUENCARRAL

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