Full-Time

Senior SDK Software Engineer

AI

Updated on 8/22/2026

LaunchDarkly

LaunchDarkly

501-1,000 employees

DevOps feature management and experimentation platform

Compensation Overview

$163k - $263.7k/yr

+ Restricted Stock Units

Remote in USA

Remote

Category
Software Engineering (1)
Required Skills
LLM
Python
Software Testing
TypeScript

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Requirements
  • Demonstrable experience building libraries and packages used by other developers.
  • At least 8 years of experience with Python and TypeScript.
  • Experience working with AI SDKs such as the OpenAI SDK and Vercel AI SDKs.
  • Strong computer science fundamentals.
  • A communicative and collaborative working style.
  • Ability to work independently as a self-starter and solve difficult problems.
  • Experience building unit, integration, and load tests, as well as benchmarks.
  • Experience writing production-ready code with emphasis on quality and maintainability.
  • Experience contributing to open-source software.
Responsibilities
  • Contribute to the development of open-source AI SDKs, including implementing new features and keeping up to date with the latest development practices.
  • Collaborate with engineering and product teams to drive the implementation and release of major features.
  • Drive improvements to key developer-experience touchpoints within the SDK.
  • Actively maintain open-source repositories.
  • Identify areas for improvement and advocate for best practices.
  • Have an active voice in shaping technology and product decisions.
  • Build the SDK that enables customers to control, monitor, and optimize their generative artificial intelligence functionality, with emphasis on performance, concurrency, resiliency, and idiomatic practices.

LaunchDarkly provides a feature management platform for developers in the DevOps space. It helps teams control and automate features in their software so they can ship code safely, run experiments themselves, deliver personalized experiences, and revert feature behavior without changing code. The platform typically runs as a subscription service that integrates into development workflows to reduce risk, speed up releases, and maximize the impact of each software feature. Its differentiation comes from a developer-first approach that emphasizes in-production feature flags, self-serve experimentation, and targeting options to improve reliability and productivity. Overall, LaunchDarkly aims to help customers innovate faster, automate and de-risk software releases, lower delivery costs, and boost the business impact of features.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$330.3M

Headquarters

Oakland, California

Founded

2014

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Simplify Jobs

Simplify's Take

What believers are saying

  • AgentControl propagates configuration changes under 200 milliseconds, enabling real-time AI interventions.
  • LaunchDarkly said internal dogfooding shipped 3x more code by June 2026.
  • LaunchDarkly serves 5,500+ enterprises, including roughly 25% of Fortune 500, in 2026.

What critics are saying

  • ConfigCat, GrowthBook, and CloudBees undercut LaunchDarkly with cheaper feature-flag pricing in 2026.
  • Open-source Unleash and GrowthBook bundle flags, analytics, and self-hosting, shrinking LaunchDarkly's moat.
  • Agent-control commoditization pushes customers toward cheaper observability stacks, risking LaunchDarkly's platform relevance.

What makes LaunchDarkly unique

  • LaunchDarkly's AgentControl launched May 18, 2026, extending guarded releases to AI agents.
  • Highlight acquisition on April 23, 2025 adds observability, tracing, logging, and session replay.
  • Houseware acquisition on February 13, 2025 adds warehouse-native analytics for experimentation.

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Benefits

Flexible work environment - Making an inclusive space for everyone means recognizing we all have our own individual working styles and needs.

Health and wellness - LaunchDarkly offers full coverage with health, dental, and vision plans for you and your dependents.

Salary and options - We're all in this together. LaunchDarkly offers competitive pay, equity, and the option to participate in a 401(k) program.

Learn and grow - We love to see our own continue to grow their skill sets—whether that's taking a class or attending a conference.

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

-1%
SiliconANGLE Media
May 19th, 2026
LaunchDarkly launches runtime control layer for the agentic AI era.

LaunchDarkly launches runtime control layer for the agentic AI era. LaunchDarkly, a feature control platform that helps developers and software engineers launch and manage products, today announced the launch of AgentControl, a new solution providing real-time management of AI agents in production. As more agents get launched into production, companies are discovering that, unlike ordinary code, generative AI is probabilistic and doesn't always behave exactly as it did in testing. Although models can update and go through experiments, they might run into unexpected user interactions that change output quality without a single change to code. Once deployed, agents are given broad autonomous leeway, with less human oversight, primarily so they can get their job done. But that leaves them open to straying from their tasks as anomalies build up, and it can happen faster than teams can react. "The hardest problems in AI, like model drift, unpredictable outputs, and the inability to intervene fast enough, turn out to be exactly the problems our platform was built to solve," Chief Technology Officer Cameron Etezadi said. "We didn't have to reinvent the platform; we just had to extend it to meet the demands of an AI SDLC and agentic-driven workflows." LaunchDarkly said its platform is built to combine instantaneous runtime intervention with an operational layer that teams need to run AI agents reliably. It can assist with configuring agentic behavior across teams and frameworks, benchmark quality before changes reach live traffic, and provide progressive releases for guarded rollouts. All of this can be done with closely monitored trace-level visibility, allowing teams to iterate based on what production data actually shows. That means information technology teams, software engineers and AI engineers, alongside business users building AI agents using no-code tools, can slow-roll agent maintenance all without the need for redeployment. LaunchDarkly says the kind of control needed to manage agents in production requires a certain kind of speed. Configuration changes propagate in under 200 milliseconds, fast enough to adjust the behavior of an agent, route to a different model, or trigger a fallback - all within the turn of a conversation, and before a customer even notices something went wrong. "As more AI-powered products and agentic capabilities reach production, runtime control becomes essential infrastructure alongside the development workflows and controls teams already trust," said Brian McCarthy, president of global revenue and field operations at Anysphere Inc., maker of the Cursor AI code editor. LaunchDarkly has a long history of building powerful control and management interfaces for software engineering teams. Its largest audience is development and operations, or DevOps, where adjusting the feature configuration for applications is part of the company's journey. AgentControl represents that earned expertise applied to the new era of agentic AI, providing companies with a powerful way to keep agents in check. As development teams continue to deploy more agents that write, deploy and interact at machine speed, the company argued that they also need a system that can react with the same alacrity. Image: siliconangle/microsoft designer. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

AI Transform
Oct 13th, 2025
LaunchDarkly revolutionises software management with AI-powered Vega

LaunchDarkly has unveiled Vega, an AI-powered diagnostic agent designed to pinpoint root causes and recommend solutions for software regressions at the moment of release.

CNBC
Jun 25th, 2025
Asana picks Dan Rogers, formerly of ServiceNow, to replace CEO Dustin Moskovitz

Asana's new CEO, Dan Rogers, comes from software startup LaunchDarkly, where he was CEO.

LaunchDarkly
May 14th, 2025
Galaxy 2025: Building boldly in the age of AI

LaunchDarkly Group unveiled new capabilities for AI Configs - your control plane for managing prompt and model configurations at runtime.

DigitPatrox
Apr 28th, 2025
LaunchDarkly to "double down" on observability with Highlight acquisition

Feature management specialist LaunchDarkly has announced the acquisition of open-source observability platform, Highlight.