Ciao, this is Qura 👋

We are a healthtech company on a mission to make today’s healthcare system obsolete.

The system we all rely on was designed in the 1970s: reactive, fragmented, built for emergencies. It only intervenes when something is already wrong.

We’re building a new health layer for Europe: proactive, coordinated, personalized, and powered by real medical expertise + AI.

In just 3 months, we already served 300+ users and partner with 190+ labs across Italy. We’ve built an end-to-end ETL pipeline and a live AI “doctor” agent already shipping actionable protocols. We’re a small team of ambitious builders with an extremely high bar for quality and execution.

Who we’re looking for:

We’re looking for someone with deep technical expertise in AI and data, who wants to build real products fast, not just research them.

If you’re passionate about AI in digital health, that’s a plus.

You’ll help shape functional AI systems that could change the health outcomes of millions of people.

What you’ll do:

• Improve, maintain, and own our data layer and ETL pipelines.
• Collaborate with our medical team to translate complex clinical requirements into structured knowledge, and then into agents and workflows.
• Build the next version of Doctor AI: a reasoning engine, built on top of our data layer, that drafts safe, evidence-based medical protocols.
• Design and implement a conversational medical agent, deeply integrated with our data layer, with strong guardrails, validation, and evaluation frameworks.
• Work with third-party data providers (labs, wearables, etc.) to integrate data pipelines at scale.
• Prioritise privacy, safety, and compliance — HIPAA, GDPR, HDS, and medical regulations.

You will be the technical owner bringing this products to reality.

How we operate (Our principles)

Velocity first: At this stage, slowness is more dangerous than mistakes. We win by learning fast.

Ownership / Governance: Everyone is fully in charge of their outcomes: you own the problem, the decisions, the execution, and you keep everyone accountable for what’s needed to deliver it.

Data drives decisions: We want to reason with evidence. Intuition can inspire, but data must validate.

Radical honesty: We communicate directly and transparently. Feedback is not personal: it exists to improve systems, decisions, and performance.

Value creation: We reward outcomes, not hours or effort.

Learn fast: When something goes wrong, we document what happened, fix it quickly, improve the process, and move forward.

Default to action: We bias toward doing, not over-cautious planning. We move through short iterations and small releases that get real feedback quickly. We deploy daily.

What we offer:

• Equity as a core team member, you’re not just joining a company, you are building it.
• Direct impact: The work you ship will be used every week by real customers and doctors. Your decisions will influence people’s health in the real world.
• Full ownership from idea to deployment: You won’t be handed tasks, you’ll own problems end-to-end, from defining the solution to shipping and iterating it.
• Fast learning curve: In 6 months you’ll face challenges, responsibilities, and product decisions that would take years to reach in a larger organisation.
• Hybrid workplace: office between Milan & Turin. We meet in person twice a week to build faster, align deeply, and solve hard problems together. The rest is up to you.

Our stack:

• Typescript end-to-end (Next.js + Express GraphQL).
• Orchestration with LangGraph.
• Data on Postgres, Redis and Pinecone.
• ETL workflows with LlamaIndex (classification, extraction, parsing).

You’ll thrive here if you:

• have 2.5+ years building agentic AI systems; 6+ years as a full-stack or ML engineer.
• Are fluent with agentic orchestration (e.g., LangGraph, LlamaIndex) and tool/function calling.
• Have experience integrating frontier LLMs and multimodal models via managed APIs or self-hosted serving.
• Have data systems expertise with PostgreSQL and Redis.
• Know vector databases, RAG pipelines, embeddings.
• Know Retrieval and memory: vector databases (pgvector, Pinecone), semantic, keyword, hybrid.
• Understand data privacy & medical compliance (GDPR, HIPAA, ISO 13485 or MDR).
• Have team leadership experience (tech ownership, mentoring, or leading squads).
• Are fluent in Italian + English.
• Operate with a low-ego, entrepreneurial mindset and want to build a generational company with massive impact.

We encourage you to apply even if you do not believe you meet every single qualification.