Abridge

4 months ago

Software Engineer, GenAI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

GenAI Engineer role focused on designing and productionizing advanced LLM-driven workflows for healthcare applications. Collaborate with researchers, clinicians, and engineers to build reliable, scalable GenAI systems, implement rigorous evaluation frameworks, and drive end-to-end production deployment with monitoring and guardrails in a hybrid SF-based setup.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build GenAI systems that turn LLMs into composable, dependable tools—leveraging retrieval, tool use, agentic reasoning, and structured outputs.
•Collaborate with ML and infra engineers to scale and optimize GenAI workflows, managing latency, context windows, and model choice.
•Write high-quality, modular code that’s graceful under failure, flexible to change, and easy to iterate on.
•Own major architectural decisions—how we architect workflows, define data flow, cache intermediate state, and structure generative outputs.
•Drive rigorous evaluation: build benchmark datasets, develop automated and human-in-the-loop frameworks, design experiments to surface failure modes and edge cases, run A/B tests to inform deployment, and distill insights from clinician feedback to evaluate and guide model improvement.

Pay and Benefits

Salary: USD 255,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityParential LeaveRemote Work

Key Requirements

•3+ years of experience building production-grade systems, with 1–2+ years focused on GenAI or LLM-powered products.
•Deep fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, custom pipelines).
•Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs), function calling, tool-use, or agentic workflows.
•Working knowledge of model evaluation, experience building diverse datasets, conducting both automated and human-in-the-loop evaluations, running A/B tests, and working with subject matter experts to guide model improvement.
•Strong Python fundamentals—including ability to write clean code, design comprehensive test-cases, and familiarity with core language features and standard libraries; experience with async programming, performance profiling, packaging, and deployment tooling is strongly preferred.

Experience:3+ yearsHealthcareAIGenAILLM

Skills:CommunicationProblem-solvingCollaborationAdaptabilityTime management

Languages:English

Tech Stack:PythonLangChainLlamaIndexLLM APIsRetrieval systemsVector DBsAsync programming

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: 4.7

Website LinkedIn Glassdoor

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Abridge

4 months ago

Software Engineer, GenAI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build GenAI systems that turn LLMs into composable, dependable tools—leveraging retrieval, tool use, agentic reasoning, and structured outputs.
•Collaborate with ML and infra engineers to scale and optimize GenAI workflows, managing latency, context windows, and model choice.
•Write high-quality, modular code that’s graceful under failure, flexible to change, and easy to iterate on.
•Own major architectural decisions—how we architect workflows, define data flow, cache intermediate state, and structure generative outputs.
•Drive rigorous evaluation: build benchmark datasets, develop automated and human-in-the-loop frameworks, design experiments to surface failure modes and edge cases, run A/B tests to inform deployment, and distill insights from clinician feedback to evaluate and guide model improvement.

Pay and Benefits

Salary: USD 255,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityParential LeaveRemote Work

Key Requirements

•3+ years of experience building production-grade systems, with 1–2+ years focused on GenAI or LLM-powered products.
•Deep fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, custom pipelines).
•Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs), function calling, tool-use, or agentic workflows.
•Working knowledge of model evaluation, experience building diverse datasets, conducting both automated and human-in-the-loop evaluations, running A/B tests, and working with subject matter experts to guide model improvement.
•Strong Python fundamentals—including ability to write clean code, design comprehensive test-cases, and familiarity with core language features and standard libraries; experience with async programming, performance profiling, packaging, and deployment tooling is strongly preferred.

Experience:3+ yearsHealthcareAIGenAILLM

Skills:CommunicationProblem-solvingCollaborationAdaptabilityTime management

Languages:English

Tech Stack:PythonLangChainLlamaIndexLLM APIsRetrieval systemsVector DBsAsync programming

Company Brief

Abridge

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: 4.7

Website LinkedIn Glassdoor