LaunchDarkly

Backend Engineer, AI

LaunchDarkly

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $141,000 - $229,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDistributed SystemsGoJavaPythonRubyScala

About the role

  • 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

Requirements

  • Extensive experience with server-side programming languages (Java/Scala, Ruby, Python, Go)
  • Proficient in designing, implementing, and maintaining RESTful APIs
  • 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
  • Bonus: 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
  • Bonus: Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments