LaunchDarkly
SDK Software Engineer, AI
Vaga remota de Release Engineering com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeNível aberto
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
SDK Software Engineer, AI
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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
Details
- 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 **
About LaunchDarkly:
- 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
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