LaunchDarkly Group
Overview
The LaunchDarkly AI team is on a mission to extend the value of the LaunchDarkly platform for software teams building AI applications. As a Backend Engineer on the AI team, you will design, build, and maintain scalable and reliable backend systems to power features that address the unique challenges of AI development and deployment. You will design and implement API methods, develop robust integrations with AI model providers (e.g., OpenAI, Google Cloud AI, AWS Bedrock), and optimize backend systems for evals, observability, AI monitoring, and metrics visualization. Youll collaborate with Product and Design teams to define technical solutions for a 0?1 product and work with early adoptersboth external customers and internal teamsto refine and scale the system. Responsibilities
Build and optimize scalable backend systems to support AI models and services. Tackle complex technical problems, analyzing data and evaluating variables to deliver innovative AI deployment solutions. Collaborate with engineering teams, product managers, and stakeholders to ensure backend architecture aligns with technical and business objectives. Define methods, procedures, and processes for new assignments, ensuring best practices and efficient project completion. Continuously optimize performance, reliability, and scalability of backend systems and AI model integrations in production. Contribute to the evolution of AI solutions by applying new technologies and techniques to improve backend processes and drive innovation. Qualifications
Extensive experience with server-side programming languages (e.g., Java/Scala, Ruby, Python, Go). Proficient in designing, implementing, and maintaining RESTful APIs. Strong grounding in CS fundamentals: data structures, distributed systems, concurrency, and threading. Comfortable navigating ambiguous challenges in a rapidly evolving domain. Passionate about learning new technologies and staying at the forefront of AI advancements. Strong sense of ownership and accountability for delivering impactful solutions. Proven ability to work with Product and Design teams to define requirements for new features in a fast-paced iterative environment. Clear, maintainable code with an emphasis on quality. High bar for production systems and engineering best practices (testing, CI/CD, monitoring). Bonus:
Hands-on experience building GenAI features or working with LLMs, through direct model integration or AI APIs (OpenAI, Google Cloud AI, AWS Bedrock). Understanding of prompt engineering, model fine-tuning, or deploying AI services in production. Compensation and Benefits
Pay:
Target pay ranges based on geographic zones for Level 3: Zone 1 (San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle) $167,000$229,000 Zone 2 ( Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago) $150,000$206,000 Zone 3 (All other US locations) $141,000$195,000 LaunchDarkly operates with transparency in pay; exact compensation may vary based on skills, experience, and location. RSUs, health, vision, dental, and mental health benefits are included in addition to salary. About LaunchDarkly
Modern software delivery should be fast and reliable. LaunchDarkly helps developers ship features faster while protecting them with a safety valve to rewind when things go wrong. The platform enables targeted feature experiences, controlled rollouts, and data-driven optimization across devices and platforms. We are committed to building a diverse, inclusive team and are an equal opportunity employer. We invite applicants to review our Affirmative Action Plan. For inquiries, contact People Ops at hr@launchdarkly.com. EEO and Compliance
LaunchDarkly is an equal opportunity employer. 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. Reasonable accommodations are available on request. #J-18808-Ljbffr
The LaunchDarkly AI team is on a mission to extend the value of the LaunchDarkly platform for software teams building AI applications. As a Backend Engineer on the AI team, you will design, build, and maintain scalable and reliable backend systems to power features that address the unique challenges of AI development and deployment. You will design and implement API methods, develop robust integrations with AI model providers (e.g., OpenAI, Google Cloud AI, AWS Bedrock), and optimize backend systems for evals, observability, AI monitoring, and metrics visualization. Youll collaborate with Product and Design teams to define technical solutions for a 0?1 product and work with early adoptersboth external customers and internal teamsto refine and scale the system. Responsibilities
Build and optimize scalable backend systems to support AI models and services. Tackle complex technical problems, analyzing data and evaluating variables to deliver innovative AI deployment solutions. Collaborate with engineering teams, product managers, and stakeholders to ensure backend architecture aligns with technical and business objectives. Define methods, procedures, and processes for new assignments, ensuring best practices and efficient project completion. Continuously optimize performance, reliability, and scalability of backend systems and AI model integrations in production. Contribute to the evolution of AI solutions by applying new technologies and techniques to improve backend processes and drive innovation. Qualifications
Extensive experience with server-side programming languages (e.g., Java/Scala, Ruby, Python, Go). Proficient in designing, implementing, and maintaining RESTful APIs. Strong grounding in CS fundamentals: data structures, distributed systems, concurrency, and threading. Comfortable navigating ambiguous challenges in a rapidly evolving domain. Passionate about learning new technologies and staying at the forefront of AI advancements. Strong sense of ownership and accountability for delivering impactful solutions. Proven ability to work with Product and Design teams to define requirements for new features in a fast-paced iterative environment. Clear, maintainable code with an emphasis on quality. High bar for production systems and engineering best practices (testing, CI/CD, monitoring). Bonus:
Hands-on experience building GenAI features or working with LLMs, through direct model integration or AI APIs (OpenAI, Google Cloud AI, AWS Bedrock). Understanding of prompt engineering, model fine-tuning, or deploying AI services in production. Compensation and Benefits
Pay:
Target pay ranges based on geographic zones for Level 3: Zone 1 (San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle) $167,000$229,000 Zone 2 ( Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago) $150,000$206,000 Zone 3 (All other US locations) $141,000$195,000 LaunchDarkly operates with transparency in pay; exact compensation may vary based on skills, experience, and location. RSUs, health, vision, dental, and mental health benefits are included in addition to salary. About LaunchDarkly
Modern software delivery should be fast and reliable. LaunchDarkly helps developers ship features faster while protecting them with a safety valve to rewind when things go wrong. The platform enables targeted feature experiences, controlled rollouts, and data-driven optimization across devices and platforms. We are committed to building a diverse, inclusive team and are an equal opportunity employer. We invite applicants to review our Affirmative Action Plan. For inquiries, contact People Ops at hr@launchdarkly.com. EEO and Compliance
LaunchDarkly is an equal opportunity employer. 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. Reasonable accommodations are available on request. #J-18808-Ljbffr