SDK Software Engineer, AI

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

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