Senior AI Engineer
Sword Health · Portugal
What the posting says
Each fact was read from this posting and checked:Statedin the posting, quotedConflictsposted two ways, both shownNot mentionedwe looked; it is not there
- PayStated
- EUR 50,400–EUR 72,000 a year
- Employment typeStated
- Full time
- Work arrangementStated
- Remote OK
- ExperienceStated
- 2-5 years
Not mentioned in this posting
We read the whole posting. These are not in it. Not a no: ask the recruiter, in your own words.
- ShiftNot mentioned
- The posting does not say
- EducationNot mentioned
- The posting does not say
- Visa sponsorshipNot mentioned
- The posting does not say
Requirements, each with its sentence from the posting
These are the employer’s words. The index does not judge whether you meet them.
- Software engineering, automation, or AI engineering experiencerequired
At least 3 years of experience in software engineering, automation, AI engineering, or a similarly technical role
from the posting - JavaScript (React, Node.js)required
Strong hands-on proficiency in JavaScript (React, Node.js) and/or Python
from the posting - Pythonrequired
Strong hands-on proficiency in JavaScript (React, Node.js) and/or Python
from the posting - Software solution building and API integrationrequired
Experience building practical software solutions and integrating multiple systems through APIs
from the posting - LLM APIsrequired
Hands-on experience with LLM APIs such as OpenAI, Anthropic, or equivalent models
from the posting - SQLrequired
Proficiency in SQL and confidence working with data to understand processes and measure outcomes
from the posting - Continuous improvement mindsetrequired
A strong continuous improvement mindset, with the ability to analyze how a process works today and identify ways to make it simpler, faster, more reliable, or more scalable
from the posting - Problem discovery and stakeholder collaborationrequired
Experience working directly with business or operational stakeholders to turn ambiguous problems into concrete solutions
from the posting - Analytical and problem solving skillsrequired
Strong analytical and problem solving skills, particularly in environments where the problem is not fully defined upfront
from the posting - Ownership and bias toward executionrequired
High levels of ownership and autonomy, with a bias toward experimentation and execution
from the posting - Cross-functional communicationrequired
Strong communication skills and the ability to collaborate effectively across technical and non technical teams
from the posting - Lean, Kaizen, or continuous improvement methodologiespreferred
Experience with Lean, Kaizen, continuous improvement, process engineering, or operational excellence methodologies
from the posting - Operational workflow automationpreferred
Experience automating operational workflows or transforming manual business processes
from the posting - Retrieval-Augmented Generation (RAG)preferred
Familiarity with Retrieval-Augmented Generation (RAG) pipelines and integrating structured and unstructured data into LLM workflows
from the posting - AI agentspreferred
Practical experience building or orchestrating AI agents
from the posting - Workflow automation platformspreferred
Experience with workflow automation platforms or agentic systems
from the posting - Cloud services (AWS, Azure, Google Cloud)preferred
Familiarity with cloud services such as AWS, Azure, or Google Cloud
from the posting - AI governance principlespreferred
Understanding of AI governance principles
from the posting
Read the full posting as the employer wrote it
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.
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Explorer (Level 1) — Uses AI daily to boost personal productivity
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Builder (Level 2) — Creates workflows and tools that elevate the whole team
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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.
Role:
The Internal AI Solutions Team leads the transformation of the company’s internal processes through Generative AI, improving how teams operate across the organization.
We work closely with business teams to understand how work actually gets done, identify opportunities to simplify and redesign processes, and build AI powered solutions that create measurable operational impact.
We’re a small, highly autonomous team with a working style similar to an early stage company. Roles are highly generalist, and we value people who are proactive, pragmatic, and comfortable moving from understanding a business problem to designing and implementing the solution.
For this role, you will work particularly closely with the Operations team, helping identify and solve both complex and repetitive operational challenges through process improvement, automation, and AI.
What you’ll be doing:
- Working closely with business stakeholders to deeply understand existing workflows, pain points, bottlenecks, and manual processes;
- Proactively identifying opportunities to simplify, standardize, automate, or redesign processes, rather than only responding to predefined technical requirements;
- Translating operational problems into pragmatic AI powered tools, automations, and software solutions;
- Owning solutions end-to-end, from process discovery and solution design through implementation, deployment, adoption, and iteration;
- Building and integrating AI-driven applications using LLMs, APIs, internal systems, and workflow automation;
- Handling both front-end and back-end development when needed, ensuring seamless integration across our tech stack;
- Measuring the impact of implemented solutions and continuously improving them based on user feedback, operational metrics, and observed outcomes.
What you need to have:
- At least 3 years of experience in software engineering, automation, AI engineering, or a similarly technical role;
- Strong hands-on proficiency in JavaScript (React, Node.js) and/or Python;
- Experience building practical software solutions and integrating multiple systems through APIs;
- Hands-on experience with LLM APIs such as OpenAI, Anthropic, or equivalent models;
- Proficiency in SQL and confidence working with data to understand processes and measure outcomes;
- A strong continuous improvement mindset, with the ability to analyze how a process works today and identify ways to make it simpler, faster, more reliable, or more scalable;
- Experience working directly with business or operational stakeholders to turn ambiguous problems into concrete solutions;
- Strong analytical and problem solving skills, particularly in environments where the problem is not fully defined upfront;
- High levels of ownership and autonomy, with a bias toward experimentation and execution;
- Strong communication skills and the ability to collaborate effectively across technical and non technical teams.
What we would love to see:
- Experience with Lean, Kaizen, continuous improvement, process engineering, or operational excellence methodologies;
- Experience automating operational workflows or transforming manual business processes;
- Familiarity with Retrieval-Augmented Generation (RAG) pipelines and integrating structured and unstructured data into LLM workflows;
- Practical experience building or orchestrating AI agents;
- Experience with workflow automation platforms or agentic systems;
- Familiarity with cloud services such as AWS, Azure, or Google Cloud;
- Understanding of AI governance principles.
*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.
The posting text is reproduced as the employer wrote it; the index adds nothing to it.