At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.

Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.

 

AI Proficiency at Sword

AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.

• Explorer (Level 1) — Uses AI daily to boost personal productivity

• Builder (Level 2) — Creates workflows and tools that elevate the whole team

• Integrator (Level 3) — Embeds AI into products and processes at scale

Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.

 

What you’ll be doing

• Design and build our AI agents and workflows, and the platform underneath them;;
• Design the APIs, schemas and data pipelines the agents depend on;
• Build for reliability and latency live agents demand;
• Extend our multi-deployment architecture so a new client ships without forking the core;
• Find the bottlenecks and scale the system as call volume and data complexity grow;
• Drive technical decisions on infrastructure and practices, and mentor the engineers around you.

 

What you need to have

• 5+ years in backend engineering, building and running systems in production;
• Strong Python in production, building and maintaining high-performance APIs;
• Solid SQL, schema design and migrations;
• Experience with event-driven systems and message queues;
• Strong grasp of design patterns and clean architecture boundaries;
• Experience with cloud platforms, ideally GCP;
• Ability to communicate fluently and confidently in Greek and English, at a proficient level.

 

What we would love to see

• Experience in healthcare or another regulated domain;
• Experience with voice or telephony systems, where latency is a product requirement;
• Experience serving several clients from one codebase;
• Experience with distributed systems and high-availability services;
• Experience with CI/CD, containers and automated testing at scale.

 

*The range below reflects base, variable, and equity for this role.

This is a starting point, not a ceiling — once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact.

Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation.

Total Compensation Range€53.900—€84.700 EUR    Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.