50K–72K EUR / year
Senior AI Engineer
AIWorkplace — unknown
Published on 2026-09-24
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About this role
Build AI-powered tools and automations that improve Sword’s internal operations, working closely with business stakeholders to identify and redesign workflows. Own solutions end to end, from process discovery and implementation to adoption and impact measurement.
About the company
Sword Health is a digital musculoskeletal care company that helps employers and health plans deliver AI-powered physical therapy and related care programs.
The team
Internal AI Solutions Team
Stack
JavaScriptReactNode.jsPythonSQLOpenAIAnthropic
What you'll do
- Understand operational workflows, pain points, and manual processes with business stakeholders
- Identify opportunities to simplify, standardize, automate, or redesign processes
- Build and integrate AI-powered applications using LLMs, APIs, internal systems, and workflow automation
- Own solutions through design, implementation, deployment, adoption, and iteration
- Measure impact and improve solutions using feedback, operational metrics, and outcomes
- Handle front-end and back-end development as needed
What we're looking for
- At least 3 years of experience in software engineering, automation, AI engineering, or a related technical role
- Strong hands-on proficiency in JavaScript (React, Node.js) and/or Python
- Experience building software solutions and integrating systems through APIs
- Hands-on experience with LLM APIs such as OpenAI or Anthropic
- Proficiency in SQL and confidence analyzing data and measuring outcomes
- Experience working with business or operational stakeholders to turn ambiguous problems into solutions
- Strong analytical, communication, ownership, and execution skills
Nice to have
- Experience with Lean, Kaizen, process engineering, or operational excellence
- Experience automating operational workflows or transforming manual processes
- Familiarity with RAG pipelines and combining structured and unstructured data in LLM workflows
- Practical experience building or orchestrating AI agents
- Experience with workflow automation platforms or agentic systems
- Familiarity with AWS, Azure, or Google Cloud
- Understanding of AI governance principles