Qualifications

• 
  Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 
  3+ years of software development experience, with a focus on building and deploying AI/ML applications
• 
  Strong backend engineering experience, including:
  • 
    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
    )
  • 
    Implementing CI/CD pipelines (e.g.,
    GitHub Actions
    )
  • 
    Working with Infrastructure-as-Code tools such as
    Terraform
    or
    Pulumi
• 
  Hands-on experience building
  LLM-based applications
  , including:
  • 
    Designing
    multi-step LLM workflows
    and task-specific agents
  • 
    Experience working with most frontier models (e.g. OpenAI, Anthropic, Google, etc…)
  • 
    Experience with AI tools as a user, specifically AI code editors
  • 
    Developing advanced
    prompt engineering strategies
    , evaluation frameworks, and RAG pipelines
  • 
    Conducting
    technical R&D
    to explore and define the boundaries of model functionality
• 
  Familiarity with
  secure coding practices
  , ideally in regulated industries (e.g., life sciences, healthcare, fintech)
• 
  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

Requirements

• 
  Ability to design and maintain scalable, production-grade backend systems for AI applications
• 
  Ability to create, orchestrate, and evaluate
  LLM-based agents
  and
  chained workflows
  with minimal oversight
• 
  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 communicate clearly with technical and non-technical collaborators (e.g., product managers, medical writers, customer teams)
• 
  Ability to operate effectively in a fast-paced, ambiguity-heavy environment, managing shifting priorities and novel problem spaces

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 Schrodinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system

Requirements