- Страна
- США
- Зарплата
- 145 500 $ – 235 400 $
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на вакансии с ИИ

SDK Software Engineer, AI
Отличная вакансия в известной компании с прозрачной вилкой зарплаты и фокусом на современные технологии (AI, SDK). Высокий уровень компенсации и возможность влиять на open-source продукты.
Сложность вакансии
Роль требует глубоких знаний в разработке SDK и библиотек, а также 5+ лет опыта работы с Python и TypeScript. Высокая планка ожидается в области тестирования, производительности и понимания специфики GenAI.
Анализ зарплаты
Предлагаемая зарплата ($145k - $235k) полностью соответствует и даже местами превышает рыночные показатели для Senior/Staff инженеров в США, особенно с учетом RSU и бонусов. Нижняя планка выше медианы для удаленной работы во многих штатах.
Сопроводительное письмо
I am writing to express my strong interest in the SDK Software Engineer (AI) position at LaunchDarkly. With over 5 years of experience in Python and TypeScript, and a proven track record of building developer-facing libraries, I am excited about the opportunity to contribute to the AI Configs team. My background in developing high-performance, resilient SDKs aligns perfectly with LaunchDarkly's mission to provide feature-rich agents rather than simple client wrappers.
In my previous roles, I have focused on creating production-ready code with a heavy emphasis on concurrency and developer experience. I have extensive experience working with AI SDKs like OpenAI and am a regular contributor to open-source projects. I am particularly drawn to this role because it combines my passion for GenAI with the technical challenge of building tools that manage the complete software development lifecycle. I am eager to bring my expertise in unit, integration, and load testing to ensure the continued reliability and excellence of LaunchDarkly’s AI SDKs.
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Присоединяйтесь к команде LaunchDarkly и создавайте инструменты, которыми будут пользоваться тысячи разработчиков по всему миру!
Описание вакансии
About the Job:
As an SDK Engineer on LaunchDarkly’s AI Configs team, you'll build the primary touchpoint that our customers interact with on a daily basis. You’ll drive the development of the SDK that enables customers to control, monitor, and optimize their GenAI functionality. You’ll primarily work in Python and Typescript, but you’ll also be exposed to other languages in LaunchDarkly’s stack. When working on our SDKs, you’ll contribute to much more than thin client wrappers. Our SDKs are feature-rich agents with strong emphases on performance, concurrency, and resiliency – all while following idiomatic practices for their tech stack.
LaunchDarkly’s AI Configs team is on a mission to manage the complete software development lifecycle for GenAI features, from configuring to benchmarking to observing and beyond. This team has a huge opportunity ahead of it; we're growing fast and we need your help writing the next chapter in our story.
Responsibilities:
- Contribute to the development of our open-source AI SDKs, including implementing new features and keeping up-to-date with the latest development practices
- Collaborate with our engineering and product teams to drive the implementation and release of major features
- Drive key improvements to key developer experience touch points within the SDK
- Actively maintain our open-source repositories
- Identify areas of improvement and advocate for best practices
- Have an active voice in shaping both technology and product decisions
Qualifications:
- Demonstrable experience building libraries and packages used by other developers
- 5+ years experience with Python and Typescript
- Experience working with AI SDKs such as the OpenAI and Vercel AI SDKs
- Strong computer science fundamentals
- Committed to working in a communicative, collaborative environment
- Self‐starter and problem solver, willing to solve difficult problems and work independently when necessary
- Strong testing background: experience building unit, integration, load tests, and benchmarks
- Experience writing production-ready code with emphasis on quality and maintainability
- Experience contributing to open-source software
Pay:
Target pay ranges based on Geographic Zones\ for Level 3:*
- Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400\\
- Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860\\
- Zone 3: All other US locations - $145,500 - $200,090 \\
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
\Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.*
\\Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
- Improving the velocity and stability of software releases, without the fear of end customer outages
- Delivering targeted experiences by easily personalizing features to customer cohorts
- Maximizing the business impact of every feature through the ability to experiment and optimize
- Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
- Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com.
Do you need a disability accommodation?
Fill out this accommodations request form and someone from our People Operations team will contact you for assistance.
Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.
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Навыки
- Python
- TypeScript
- OpenAI
- Vercel AI SDK
- Unit Testing
- Integration Testing
- Load Testing
- Benchmarking
- Open Source
- Concurrency
Возможные вопросы на собеседовании
Вакансия подразумевает создание инструментов для других разработчиков.
Расскажите о самом сложном интерфейсе библиотеки (API), который вы проектировали. Как вы балансировали между функциональностью и простотой использования?
В описании подчеркивается, что SDK — это не просто обертки, а сложные агенты.
Как вы подходите к обеспечению потокобезопасности и конкурентности в Python-библиотеках при работе с сетевыми запросами?
Команда занимается GenAI конфигурациями.
С какими основными проблемами вы сталкивались при интеграции OpenAI или Vercel AI SDK в продуктовые решения?
Упоминается сильный бэкграунд в тестировании.
Как вы организуете нагрузочное тестирование (load testing) для SDK, чтобы гарантировать его стабильность под высоким давлением?
Работа ведется над open-source проектами.
Как вы управляете изменениями в публичном API, чтобы избежать нарушения обратной совместимости для пользователей?
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- Страна
- США
- Зарплата
- 145 500 $ – 235 400 $