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Internal AI Solutions Trainee

over 1 years

In short

Join Sword Health as an Internal AI Solutions Trainee and work on AI-powered tools enhancing internal teams like Finance and Commercial. This internship offers hands-on experience in technologies like React, Node.js, Python, and cloud deployment, with a hybrid work model in Portugal.

Where
Hybrid Β· Portugal
Level
Internship
Sword Health
Sword Health
  • Remote-first
  • Backed by Khosla Ventures

Delivers AI-guided digital care programs for musculoskeletal, mental and cardiometabolic health.

0 open roles Β· usually open about 8 weeks

Responsibilities

  • Assist in the development and integration of AI-powered tools for internal teams
  • Help build user-facing features and back-end logic using technologies like React, Node.js, and Python
  • Participate in the deployment of pipelines using cloud services like AWS or Azure
  • Work with Large Language Models (LLMs) to automate manual processes and enhance internal support systems
  • Collaborate with the Internal AI team and other engineers on identifying opportunities and delivering impactful solutions

Requirements

  • Background in Computer Science, Software Engineering, or related field
  • Knowledge of JavaScript or Python
  • Familiarity with REST APIs and basic web development principles
  • Willingness to learn about Large Language Models and cloud-based AI tools
  • Interest in problem-solving and improving internal tools and workflows

Preferred Qualifications

  • Experience with SQL or database querying
  • Exposure to AI or data-related projects (academic or personal)
  • Knowledge of tools like LangChain, Pinecone, or vector databases
  • Curiosity about Retrieval-Augmented Generation (RAG)
  • Initiative to take ownership of small projects and iterate on user feedback

What we offer

  • A stimulating, fast-paced environment with lots of room for creativity
  • A start of a bright future at a promising high-tech startup company
  • Access to our health and well-being program (digital therapist sessions)
  • Learning opportunities with tailored mentoring
  • Remote or Hybrid work policy
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