Backend Engineer, AI

Posted 10 Days Ago
Hiring Remotely in US
Remote
Hybrid
Mid level
Information Technology • Software
We empower all teams to deliver and control their software.
The Role
As a Backend Engineer on the AI team at LaunchDarkly, you'll design, build, and maintain backend systems tailored for AI development. Responsibilities include developing robust APIs, integrating with AI model providers, optimizing performance, and collaborating with Product and Design teams.
Summary Generated by Built In

About the Job:

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 play a pivotal role in designing, building, and maintaining scalable and reliable backend systems to power innovative features that address the unique challenges of AI development and deployment.

You'll have an opportunity to work on cutting-edge backend challenges in the rapidly evolving AI space. 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 to handle metrics visualization, monitoring, and progressive rollouts for AI features.

You’ll collaborate closely with the Product and Design teams to help define technical solutions for a 0→1 product and work with early adopters—both external customers and internal teams—to refine and scale the system.

Responsibilities:

  • Build and optimize scalable backend systems to support AI models and services.

  • Tackle complex technical problems, utilizing your expertise to analyze data and evaluate variables, providing innovative solutions that meet the unique needs of AI development and deployment.

  • Work closely with other engineering teams, product managers, and stakeholders to ensure that the backend architecture aligns with both technical and business objectives.

  • Determine methods, procedures, and processes for new assignments, ensuring the best practices are adhered to and that projects are completed efficiently and effectively.

  • Continuously optimize the performance, reliability, and scalability of backend systems, ensuring the seamless integration of AI models into production environments.

  • Contribute to the evolution of AI solutions by applying new technologies and techniques to improve backend processes, drive innovation, and push the boundaries of AI deployment.

Qualifications:

  • Extensive experience with server-side programming languages (e.g. in Java / Scala, Ruby, Python, Go)

  • Proficient in designing, implementing, and maintaining RESTful APIs

  • Hands-on experience building GenAI features or working with Large Language Models (LLMs), either through direct model integration or leveraging AI APIs like OpenAI, Google Cloud AI, or AWS Bedrock.

  • Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments.

  • Familiarity with computer science fundamentals such as 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 closely with Product and Design teams to define requirements for new features in a fast-paced iterative environment.

  • You write code that can be easily understood by others, with an eye towards maintainability

  • You hold yourself and others to a high bar when working with production systems

  • You value high code quality, automated testing, and other engineering best practices

Pay:

Target pay ranges based on Geographic Zones* for Level 4:

  • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area: $187,000 - $223,700**
  • Zone 2: Boston, DC, Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Seattle: $168,200 - $210,300**
  • Zone 3: All other US locations: $158,900 - $198,600**

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]

Learn more about the interview process & what it’s like to work with LaunchDarkly's Product Delivery team!

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Top Skills

Go
Java
Python
Ruby
Scala
The Company
HQ: Oakland, CA
500 Employees
On-site Workplace
Year Founded: 2014

What We Do

LaunchDarkly isn’t just a leader in feature management — it’s the first scalable feature management platform. Feature management allows development teams to innovate faster by fundamentally transforming how software is delivered to customers. With the ability to gradually release new software features to any segment of users on any platform, DevOps teams can standardize safe releases at scale, accelerate their journey to the cloud and collaborate more effectively with business teams.

Today, LaunchDarkly deploys peaks of 20 trillion feature flags a day, and that number continues to grow. Founded in 2014 in Oakland, California by Edith Harbaugh and John Kodumal, LaunchDarkly has been named on the Forbes Cloud 100 list, InfoWorld’s 2021 Technology of the Year list, and the Enterprise Tech 30 list.

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.

Why Work With Us

We're Oakland-based but Remote-first and have one of the few women CEOs in our industry.

Top reasons to work at LaunchDarkly:
Great work/life balance and unlimited PTO, Awesome culture and human-centric values, Product is a "Need to have": Category leader in Feature Management, Competitive Pay and Healthcare Benefits, Pre-IPO Stock

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