Simple Solutions Sr Applied LLM Engineer in San Francisco, CA | 1217641729

Sr. Applied LLM Engineer

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

Why are you interested in Artos?

Have you successfully brought an LLM-based application to production for external customers?

Are you comfortable with a high-intensity "startup hours" environment (roughly 12–14 hours/day) to hit aggressive growth targets?

Sr Applied LLM Engineer