Software Engineering Intern — AI for Healthcare

Abridge

Witney

Vor Ort

GBP 57.000 - 68.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Mentorship
Hands-on AI work
Relocation assistance
Opportunity for return offer

Zusammenfassung

Abridge is seeking Software Engineering Interns for a 3-month program with Fall 2026, Spring 2027, or Summer 2027 start dates, offering potential extension. You will join our Engineering team to build features that translate cutting-edge language model capabilities into dependable clinical systems.

Under mentorship, you will design, code, and release AI-powered software that enhances clinicians' workflows, focusing on retrieval pipelines, structured tool use, and prompts for LLMs.

Qualifikationen

  • Strong interest in pursuing a full-time software engineering role in 2027/2028.
  • Experience with AI tooling to write, debug, and learn faster; know when to trust vs verify.
  • Passion for Abridge's mission and user-centric healthcare workflows.
  • Curious, adaptable mindset; proactive in a fast-paced startup environment.
  • Collaborative, low-ego team player who contributes where needed.

Aufgaben

  • Design and build end-to-end features, enhancing existing systems and contributing to agentic LLM workflows (retrieval pipelines, structured tool use, chained LLM calls).
  • Fix user-facing bugs and issues, and improve quality of backend and frontend systems.
  • Get hands-on with evaluation frameworks for accuracy, robustness, and clinical reliability.
  • Prototype with new models, prompting techniques, and open-source orchestration tools (LangChain, LlamaIndex, etc.).
  • Collaborate across cross-functional product teams to ship features to customers.

Kenntnisse

AI tooling
Team collaboration
Curiosity
Proactive mindset

Tools

LangChain
LlamaIndex

Jobbeschreibung

Abridge is seeking Software Engineering Interns for a 3-month program with Fall 2026, Spring 2027, or Summer 2027 start dates, offering potential extension. You will join our Engineering team to build features that translate cutting-edge language model capabilities into dependable clinical systems.

Under mentorship, you will design, code, and release AI-powered software that enhances clinicians' workflows, focusing on retrieval pipelines, structured tool use, and prompts for LLMs.

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