Software Engineer, GenAI

Abridge

GenAI Software Engineer developing dependable clinical systems for healthcare using advanced language model capabilities. Collaborating with cross-functional teams to deliver high-quality, reliable outputs in real-world applications.

Posted 7/29/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $255,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building production-grade systems with a focus on LLM-powered products, emphasizing strong Python fundamentals and experience in model evaluation and orchestration patterns. Capable of making architectural decisions and driving rigorous evaluation processes to enhance model performance.

Highest-signal resume keywords

LLM API FluencyPython ProgrammingModel Evaluation ExperienceRetrieval Systems KnowledgeArchitectural Decision-Making

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production-Grade Systems DevelopmentModular Code WritingAsynchronous ProgrammingPerformance ProfilingTest Case Design

Soft Skills

Good Taste and IntuitionCollaboration

Tools & Technologies

LangChainLlamaIndexVector DBsAutomated Evaluation FrameworksHuman-in-the-Loop Evaluation

Industry Keywords

Agentic SystemsGenerative OutputsBenchmark DatasetsA/B TestingTool Use

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and build agentic 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 agentic 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.
Leverage frontier capabilities: rapidly prototype with new models and model capabilities, open-source tools, and novel prompting techniques.

Requirements

What you’ll need

3+ years of experience building production-grade systems, with 1–2+ years focused on LLM-powered or agentic 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, efficient kNN), 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.
Good taste and intuition: You know when to move fast, ship, and iterate and also when to take a beat to tackle tech debt.

Benefits

Comp & perks

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
Paid Parental Leave: Generous paid parental leave for all full-time employees.
Family Forming Benefits: Resources and financial support to help you build your family.
401(k) Matching: Contribution matching to help invest in your future.
Personal Device Allowance: Tax free funds for personal device usage.
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
Compensation and Equity: Competitive compensation and equity grants for full time employees.