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HomeCompaniesLaunchDarklySDK Software Engineer, AI

SDK Software Engineer, AI

LaunchDarkly · Remote - US · Remote · Active · $171,200–$235,400 / year · Greenhouse

Job facts

FieldValue
CompanyLaunchDarkly
TitleSDK Software Engineer, AI
Normalized title-
Department / teamRelease Engineering
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary$171,200–$235,400 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-02 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from LaunchDarkly.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Release Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyLaunchDarkly
Source30586d93-8d36-4c0d-8d94-f54fdded784e
ATS providerGreenhouse

Description

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 [email protected] . 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 or via LinkedIn from "Verified Recruiter" accounts. 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 [email protected] .

Full job record

Job IDb511593273287a6d440a47c64589b976c09c5745
Org ID14ec87aa-bfb3-40ec-ad91-fc208333366d
Source ID30586d93-8d36-4c0d-8d94-f54fdded784e
Board ID30586d93-8d36-4c0d-8d94-f54fdded784e
Providergreenhouse
Provider Job Key7647797003
TitleSDK Software Engineer, AI
Normalized Title
Statusactive
Activeyes
Location TextRemote - US
DepartmentRelease Engineering
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Rawpay 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, Ph
Salary Min171,200
Salary Max235,400
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/launchdarkly/jobs/7647797003
Apply URLhttps://job-boards.greenhouse.io/launchdarkly/jobs/7647797003
First Seen At2026-05-29 22:40:27Z
Last Seen At2026-06-06 19:46:06Z
Last Checked At2026-06-06 19:46:06Z
Last Changed At2026-05-29 22:40:27Z
Inactive At
Source Posted At2026-03-02 17:58:03Z
Source Updated At2026-04-29 19:36:52Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=launchdarkly/date=2026-06-06/2026-06-06T19-46-06-484Z-2c0a0a7347f278baa92556038eff75c9e686db1b0af7342a12d74e04f51245d5.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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  "first_published": "2026-03-02T12:58:03-05:00",
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