Artosai

Artosai

Applied AI Engineer

San Francisco

Sponsorship not specifiedDetected 53 days ago
PythonReactDjangoFastAPIGitAWSGCPAzureCloud PlatformsTerraformCI/CDGitHub ActionsMachine LearningLLMsRAGA/B TestingResearch

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odds of building a lasting career here

16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • We're growing fast, and we're looking for an engineer who thrives in a high-velocity environment and wants to do meaningful work.

Requirements

  • Ability to debug and improve LLM-driven systems, identifying issues across multiple layers (model output, API behavior, system logic)
  • Ability to conduct rapid experimentation and research on LLM capabilities and translate findings into production functionality
  • Ability to stay current with emerging practices, models, and tooling in the generative AI ecosystem and apply them pragmatically
  • Ability to operate effectively in a fast-paced, ambiguity-heavy environment, managing shifting priorities and novel problem spaces
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
  • Experience working with frontier models (e.g., OpenAI, Anthropic, Google)
  • Experience with AI tools as a user, specifically AI code editors
  • Strong backend engineering experience, including:
  • 2+ years of software development experience building and deploying AI/ML applications
  • Hands-on experience building LLM-based applications
  • Designing multi-step LLM workflows and task-specific agents
  • Developing advanced prompt engineering strategies, evaluation frameworks, and RAG pipelines
  • Conducting technical R&D to explore and define the boundaries of model functionality
  • Use of evaluation tools such as Langfuse or LangSmith
  • Building APIs from the ground up using Python frameworks such as FastAPI and Django
  • Deploying and scaling containerized applications in cloud environments (e.g., AWS, GCP, Azure)
  • Requirements:
  • Ability to design and maintain scalable, production-grade backend systems for AI applications

Nice to have

  • Worked with Infrastructure-as-Code tools such as Terraform or Pulumi
  • Implementing CI/CD pipelines (e.g., GitHub Actions)
  • Experience working in or adjacent to regulated domains (life sciences, clinical R&D) is a plus
  • Frontend development experience (e.g., React) is a plus, but not required
  • Other Information:
  • Very comfortable working in a fast-paced and intense startup environment
  • Willing to work in-person in our office in Mission Bay 4-5 days/week
  • Likes matcha KitKats, believes every LLM prompt is just Schrödinger's cat waiting to be observed, and knows too many random facts about the Mongol postal system

Company info

  • About the Role: We're growing fast, and we're looking for an engineer who thrives in a high-velocity environment and wants to do meaningful work.
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This listing is sourced directly from Artosai's careers page and normalized into a canonical job model.