Location: Paris (3 days on‑site / 2 days remote)
Contract: CDD 12‑months contract (extension possible)
About The Mediterranean Food Lab
The Mediterranean Food Lab (MFL) is a Flavor company on a mission to shape the future of food through science‑driven fermentation and culinary creativity. Rooted in our culinary creativity, we craft natural flavours made from real foods that deliver authentic deliciousness to every dish.
We are an AI‑driven startup, building advanced models that help us solve complex problems and accelerate innovation across our R&D pipeline.
Our objective is to accelerate R&D cycles, democratise access to expert knowledge, and create better‑tasting, sustainable foods for global partners.
Mission
Own the glue layer that turns MFL’s AI components into a single, production‑ready platform used daily by scientists, chefs and business teams.
Key Responsibilities
· Develop and maintain full‑stack applications (Python/FastAPI backend, React or Angular frontend) that expose graph insights and AI services via secure APIs and intuitive UIs.
· Integrate ML & LLM pipelines with the knowledge graph - deploy trained models, orchestrate inference, and monitor performance in real time.
· Translate domain requirements from flavour scientists and data experts into functional, scalable technical solutions.
· Ensure performance, scalability and security, especially when handling proprietary R&D data.
· Implement DevOps best practices: containerise services with Docker, deploy to Kubernetes, automate CI/CD with GitHub Actions or ETLs
· Act as the company’s “technical glue” connecting data ingestion, graph storage, ML serving, and frontend layers, and mentoring peers on integration patterns.
Requirements
· Proven experience as a Full‑Stack Engineer (5 + years), shipping production software in a cloud environment.
· Strong proficiency in Python, with production experience using FastAPI. C++ is a bonus.
· Graph‑tech mastery: hands‑on with Neo4j (Cypher, APOC, GDS) and experience optimising queries, indexes and data models.
· Frontend skills: React/Next.js or Angular; capable of crafting data‑visualisation and interactive dashboards.
· ML integration: familiarity with frameworks such as PyTorch, TensorFlow, and deploying models to production.
· Cloud & DevOps: Docker, Kubernetes, observability with Grafana.
· Soft skills: excellent communication, bridging technical and non‑technical stakeholders, strong problem‑solving, and ownership.
What We Offer
· Swile card for your meals
· Modern facilities in the Paris area with flexibility for remote work up to two days per week.
· The opportunity to shape a first‑of‑its‑kind AI stack in food tech company.
· A collaborative culture that mixes culinary creativity with deep‑tech expertise.
· A dynamic, fun environment working on cutting‑edge food science with an amazing team.
To Apply
Send your CV to omergenkin@med-food-lab.com with the subject “Artificial Intelligence Engineer”. MFL celebrates diversity and is committed to equal‑opportunity hiring.