Founded in 2012, Take a Chef was born from the belief that exceptional culinary experiences should be accessible beyond traditional restaurant settings. Combining cutting-edge technology &##128187; with a deep passion for food and hospitality &##128293;, 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
&##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.
Academic Background: Degree in Computer Engineering, Software Engineering, Computer Science or Physics / Mathematics with real experience in backend development.
• 1-2 years developing software in Python in real environments.
Backend in Python
* FastAPI (routers, dependencies, Pydantic validation).
* Django / Django REST Framework is a plus.
* 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.
&##Use of LLMs (OpenAI / Azure OpenAI / Bedrock / open source models served locally).
• 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).
Familiarity with agile practices (Scrum / Kanban).
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).
&##Employee Development – Access to training and workshops to expand your skills.
&##Competitive Compensation – Attractive salary plus annual performance bonuses.
&##