Software Engineer - Early Career

Abridge
San Francisco, New York
Workplace: OnsiteFull timeUSD 157,000 - 184,000 annuallyFunction: Software EngineeringEducation: bachelorsSkills: ["Collaborative","Low-ego","Curiosity","Ownership","Rapid learning"]

Build agentic LLM systems that power dependable clinical workflows, including retrieval pipelines, structured tool use, and chained LLM workflows. Contribute to evaluation frameworks for accuracy, robustness, and clinical reliability using automated pipelines and human-in-the-loop review. Work across backend and frontend systems, prototype with new models and prompting approaches, and help deliver monitoring and observability that keep LLM systems healthy in production. Onsite 5 days/week in either SF or NYC offices.

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Abridge
Abridge
2 months ago

Software Engineer - Early Career

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Closed

Job Summary

Build agentic LLM systems that power dependable clinical workflows, including retrieval pipelines, structured tool use, and chained LLM workflows. Contribute to evaluation frameworks for accuracy, robustness, and clinical reliability using automated pipelines and human-in-the-loop review. Work across backend and frontend systems, prototype with new models and prompting approaches, and help deliver monitoring and observability that keep LLM systems healthy in production. Onsite 5 days/week in either SF or NYC offices.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Entry level

Key Responsibilities

  • •Build and iterate on agentic LLM systems, including retrieval pipelines, structured tool use, and chained workflows.
  • •Develop evaluation frameworks for accuracy, robustness, and clinical reliability, using automated pipelines and human-in-the-loop review.
  • •Contribute to backend and frontend systems across Abridge.
  • •Prototype with new models, prompting techniques, and open-source orchestration tools like LangChain and LlamaIndex.
  • •Collaborate across ML, infrastructure, product, and clinical teams, and help implement monitoring and observability for production LLM workflows.

Pay and Benefits

Salary: USD 157,000 - 184,000 annually
Perks:Paid HolidaysHealth InsuranceDentalVisionHsa ContributionPaid Parental401kDevice AllowanceFlexible SpendingCommuter BenefitsSabbatical LeaveFamily Forming

Key Requirements

  • •A degree in CS or related field, or equivalent experience (projects, bootcamp, open source).
  • •Hands-on GenAI experience, including integrating an LLM API, building a RAG pipeline, experimenting with agents, or shipping AI-powered work.
  • •Familiarity with LLM orchestration concepts such as prompt chaining, tool use, and retrieval.
  • •Use AI tooling to write, debug, and learn faster, and know when to trust vs. verify outputs.
  • •Curiosity about model evaluation, failure modes, and building reliable LLM systems, with a collaborative, low-ego mindset.
Education:Bachelor's in Computer Science
Skills:CollaborativeLow-egoCuriosityOwnershipRapid learning
Tech Stack:LLMAgentic LLMRAGLangChainLlamaIndexEMRObservabilityMonitoring

Company Brief

Abridge
Builds an enterprise-grade generative-AI platform that captures and summarizes patient–clinician conversations in real time to produce structured clinical documentation, integrated with EMRs to reduce clinician documentation burden and enable clinical and revenue workflows.
Industry: HealthTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2018
Glassdoor
Glassdoor: 4.7
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