Level

Sword Health

Senior ML Engineer, AI Solutions (Greek-speaking)

AI in this role

Own design and delivery of AI agents and LLM-powered healthcare products.

pythonsql
ai-agentsllmmachine-learningobservabilityevent-driven-design

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

  • Own the design, delivery, and improvement of our AI agents and other LLM-powered products;
  • Integrate new models into the platform and build the benchmarks to evaluate them;
  • Own agent real-time observability;
  • Ship the production backend behind the agents as well as the supporting platform;
  • Bring your intuition about LLM architecture and how it shapes agent architecture;
  • Grow the AI function by defining the practices, raising the bar in review, and mentoring.

 

What you need to have

  • 4+ years building and running production software;
  • Working understanding of how LLMs are architected and behave;
  • Solid experience in SQL, Python and event-driven design;
  • Experience shipping LLM-powered features and their observability;
  • Experience designing evals;
  • Experience with Cloud platforms (ideally GCP);
  • Experience leading and owning complex and ambiguous projects from ideation to completion/maintenance;
  • Experience providing technical oversight and mentoring colleagues;
  • Ability to communicate fluently and confidently in Greek and English, at a proficient level.

 

What we would love to see

  • Experience with voice agents, telephony, STTs, TTSs and latency budgets;
  • Experience in healthcare or another regulated domain;
  • Experience designing experiments and reading their results correctly;
  • Experience serving several clients from one codebase.

 

*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.

How we rate this

Senior ML Engineer, AI Solutions (Greek-speaking) at Sword Health rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsLLMMachine LearningObservabilityEvent Driven DesignPythonSQL

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where llm was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where observability was part of your work. What did you do?
  5. Tell me about a project where event driven design was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Agents, LLM, Machine Learning, Observability, and Event Driven Design. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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