Applied AI Software Engineer, International Public Sector

3 Months ago • 2 Years + • Undisclosed

About the job

Job Description

Applied AI Software Engineer for International Public Sector, specializing in Generative AI. Must have 2+ years of experience, strong coding skills in Python, Java, C++, TypeScript/JavaScript, and experience with LLMs. Must be comfortable traveling to client sites.
Must have:
  • Strong Coding Skills
  • 2+ Years Experience
  • LLMs Experience
  • Python, Java, C++
Good to have:
  • Arabic Proficiency
  • Startup Experience
  • Cross-Functional Work
  • Gen AI Landscape
Perks:
  • Travel Opportunities
  • Fast-Growing Team

Scale is growing rapidly, and joining the Global International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved:

  • Building custom LLMs
  • Providing high-quality training data for research institutions building LLMs from scratch
  • Partnerships, upskilling, and advisory

Scale is looking for an Applied AI Software Engineer to lead the integration of Generative AI into customer services. You will engage with customers to understand their AI needs, design and execute modeling experiments using LLMs and RAG, and develop robust, production-grade services. Key responsibilities include building end-to-end AI systems, optimizing performance through data-driven experiments, and designing evaluation strategies. Ideal candidates will have experience as Forward Deployed Engineers, CTOs, or Founding Engineers at startups, and a passion for shaping the future of data-centric AI. If this describes you, we encourage you to apply!

You will:

  • Scope and implement AI-driven solutions to ambiguous customer problems
  • Build end-to-end AI systems using Scale’s Generative AI Platform
  • Build automated frameworks to ingest and query large amounts of unstructured data
  • Work cross functionally with our data annotation teams, and fine tune LLMs using this data
  • Build evaluation systems that leverage human experts and automated approaches
  • Travel up to 2 weeks every 2 months to meet with the customer

Minimum Qualifications:

  • Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
  • 2+ years of engineering experience, post-graduation 
  • Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
  • Ability and interest in traveling to the client site in the Middle East region at least one week every 2 months

Ideal Qualifications:

  • Proficient in reading and writing in Arabic 
  • Past experience working at a startup or in a forward-deployed role
  • Has experience working cross functionally with operations
  • Have experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
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San Francisco, California, United States (On-Site)

Mexico City, Mexico City, Mexico (On-Site)

San Francisco, California, United States (On-Site)

Washington, District Of Columbia, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

St. Louis, Missouri, United States (Remote)

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