Software Engineer - Early Career

Abridge Abridge · Vertical AI · San Francisco, CA · Builder

Early-career Software Engineer to build and iterate on agentic LLM systems for healthcare applications, contributing to evaluation frameworks, backend/frontend systems, and production monitoring. Requires hands-on GenAI experience and familiarity with LLM orchestration.

What you'd actually do

  1. Build and iterate on agentic LLM systems — including retrieval pipelines, structured tool use, and chained LLM workflows — as part of a collaborative engineering team
  2. Contribute to evaluation frameworks that measure accuracy, robustness, and clinical reliability — including automated pipelines and human-in-the-loop review
  3. Contribute to backend and frontend systems across Abridge
  4. Think with an agent-first approach. Continuously learn and relearn agentic coding.
  5. Fine-tune your judgment on where the human in the loop is critical.

Skills

Required

  • Degree in CS or related field, or equivalent experience
  • Hands-on GenAI experience (coursework, personal projects, internships, hackathons)
  • Familiarity with LLM orchestration concepts (prompt chaining, tool use, retrieval)
  • Experience integrating an LLM API, building a RAG pipeline, or experimenting with agents
  • Collaborative, low-ego mindset

Nice to have

  • shipping production code
  • monitoring and observability systems for LLM workflows
  • prototyping with new models, prompting techniques, and open-source orchestration tools (LangChain, LlamaIndex, etc.)

What the JD emphasized

  • early-career
  • Hands-on GenAI experience
  • LLM orchestration concepts
  • agent-first approach

Other signals

  • building AI-powered features
  • shipping production code
  • GenAI is at the center of everything we build
  • agentic LLM systems
  • LLM orchestration concepts