Engineering Internship - Summer
Indexed description
Key Responsibilities
- Retrieval & Data Quality: Work on the pipelines that ingest, chunk, embed, and surface licensed data - improving precision, recall, and consistency across domains.
- Evaluation & Testing: Write evals that measure dataset and retrieval quality in a structured, repeatable way. Help us know when things get better and when they don't.
- Developer Tooling: Contribute to the internal and external-facing tools that make Redpine easier to build on - docs, SDKs, demo environments, or agentic workflow prototypes.
- Ad-hoc Projects: Support the wider team with technical tasks that remove friction and move the platform forward - scope depends on where you fit and what we need most.
- Strong track record: Current student or recent graduate in computer science, engineering, or a related field, who has consistently performed at a high level in academics or extracurriculars.
- Builder mindset: You have built things outside of coursework - side projects, open source, hackathons. You don't wait to be told what to do next.
- Technical foundation: Comfortable in Python, Go, or Rust. You understand how LLMs and retrieval systems work, not just as a user.
- Agile fast learner: You grasp new systems quickly, ask good questions, and thrive in a fast-paced, low-structure environment.
- Experience is a plus: Familiarity with vector databases, embeddings, RAG pipelines, MCP, or agentic tooling is a strong advantage.
- 6-8 weeks from mid-June to August 2026, exact dates to be defined with the candidate.
- This is a paid full-time summer internship.
- Be part of a company building critical infrastructure for the AI ecosystem - licensed data at scale.
- Work in a global-first, AI-native environment with direct access to the founding team and investors.
- Enjoy a competitive base salary.
- Engage with real technical problems that don't have a template - and leave with something shipped.
We embrace a culture of curiosity, speed, innovation and excellence. We believe in continuous learning, experimentation, and pushing the boundaries of what's possible in AI technology. You'll be working closely with the founding team, including Anders (ex-partner at VC, McKinsey) and David (ex-tech and product leader at Spotify, Zettle and Lunar).
We prioritize an office-first culture (in Stockholm) to fuel collaboration and connection, but we're big on autonomy - for those days you need a deep work day at home or have life admin to handle.
If you are eager to make a meaningful impact in the AI space, we'd love to hear from you. We are committed to building a diverse and inclusive team: if you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway.
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