Applied AI Engineer

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. At Artos, you'll help accelerate development of a platform that supports companies — from innovative biotech startups to the world's largest pharmaceutical firms — in delivering life-saving treatments to patients faster than ever before.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 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
• Experience working with frontier models (e.g., OpenAI, Anthropic, Google)
• 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
• Using evaluation tools such as Langfuse or LangSmith
• 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)

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 implement and orchestrate multi-step agentic workflows
• 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

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)
• Frontend development experience (e.g., React), 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
• Compensation Range: $171K - $242K