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Senior Software Developer, API

AI EngineerMachine Learning EngineerFull TimeRemote

Location

United States

Posted

3 days ago

Salary

$143.1K - $199.8K / year

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role is ideal for an experienced software engineer focused on building and optimizing advanced AI systems and APIs. The Senior Software Developer, API will design and implement intelligent agent systems, generative AI models, and Retrieval-Augmented Generation (RAG) pipelines that improve information retrieval, automation, and operational efficiency. The position involves hands-on coding, system architecture design, and cross-functional collaboration with data scientists and product managers. It offers an opportunity to work on cutting-edge AI technologies that scale globally, combining software development, machine learning, and system optimization. Candidates will thrive in an innovative environment that encourages problem-solving, creativity, and staying at the forefront of AI research and application. This role allows the engineer to make a direct impact on product performance, reliability, and scalability.

  • Design, develop, and deploy AI-driven automation tools and intelligent agent systems.
  • Build and optimize APIs and RAG-based servers to enhance data retrieval and AI performance.
  • Implement prompt engineering and context engineering techniques to improve AI outputs.
  • Collaborate with cross-functional teams including data scientists, product managers, and software developers.
  • Analyze, monitor, and optimize AI system performance for scalability, reliability, and efficiency.
  • Stay current with emerging AI, machine learning, and automation technologies and integrate best practices into development workflows.

Qualifications

  • Bachelor’s degree in Computer Science or related field. Advanced degrees are a plus.
  • 7+ years of professional experience programming in Python.
  • 3+ years of experience in prompt engineering, context engineering, or related AI model optimization.
  • Experience with AI frameworks and tools such as TensorFlow for building RAG-based systems is preferred.
  • Familiarity with natural language processing, language models, and model tuning is an advantage.
  • Strong problem-solving skills, analytical thinking, and ability to optimize system performance.
  • Excellent communication skills and experience collaborating in cross-functional teams.

Benefits

  • Competitive salary range: $143,100 – $199,800 per year.
  • Bonus program, equity plans, and 401(k) with company match.
  • Comprehensive medical, dental, and vision coverage.
  • Unlimited paid time off and flexible work arrangements.
  • Professional development opportunities, mentorship, and career growth resources.
  • Inclusive work culture that supports collaboration, innovation, and work-life balance.

Company Description

Job Requirements

  • Bachelor’s degree in Computer Science or related field. Advanced degrees are a plus.
  • 7+ years of professional experience programming in Python.
  • 3+ years of experience in prompt engineering, context engineering, or related AI model optimization.
  • Experience with AI frameworks and tools such as TensorFlow for building RAG-based systems is preferred.
  • Familiarity with natural language processing, language models, and model tuning is an advantage.
  • Strong problem-solving skills, analytical thinking, and ability to optimize system performance.
  • Excellent communication skills and experience collaborating in cross-functional teams.

Benefits

  • Competitive salary range: $143,100 – $199,800 per year.
  • Bonus program, equity plans, and 401(k) with company match.
  • Comprehensive medical, dental, and vision coverage.
  • Unlimited paid time off and flexible work arrangements.
  • Professional development opportunities, mentorship, and career growth resources.
  • Inclusive work culture that supports collaboration, innovation, and work-life balance.

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