Artos Verified
Manufacturing, Industrial Machinery
Applied LLM Engineer
San Francisco, California, United StatesOnsiteFull TimePosted 2 months agoHidden Gem · YC Startup
Role summary
Artos is seeking a hyper-talented, startup-minded Applied LLM Engineer to join their fast-growing team. This role is critical in developing, scaling, and expanding the Artos platform, which helps biopharma companies manage R&D documentation. The engineer will focus on building and deploying AI/ML applications, with a strong emphasis on LLM-based applications, including designing multi-step workflows, agents, prompt engineering strategies, and RAG pipelines. The position requires robust backend engineering experience with Python frameworks, cloud environments, CI/CD, and Infrastructure-as-Code tools. Familiarity with secure coding practices and regulated industries is a plus.
### **About Artos**
At Artos, we build tools that help biopharma companies create and manage their R&D documentation in a fraction of the time. If you’re looking to join a team whose mission is to fundamentally change the way that drug development gets done, we’d love to talk to you.
We’re growing _very_ fast right now, and we at Artos are looking for a hyper-talented, startup-minded engineer who can help us accelerate the development of a product that supports companies from innovative biotech startups to some of the largest pharmaceutical companies in the world in their mission to deliver life-saving treatments to patients faster than ever before.
As a core member of Artos’s engineering team, you will play a critical role in developing, scaling, and expanding the Artos platform to help serve regulatory needs for pharma and life science companies around the globe.
### **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
At Artos, we build tools that help biopharma companies create and manage their R&D documentation in a fraction of the time. If you’re looking to join a team whose mission is to fundamentally change the way that drug development gets done, we’d love to talk to you.
We’re growing _very_ fast right now, and we at Artos are looking for a hyper-talented, startup-minded engineer who can help us accelerate the development of a product that supports companies from innovative biotech startups to some of the largest pharmaceutical companies in the world in their mission to deliver life-saving treatments to patients faster than ever before.
As a core member of Artos’s engineering team, you will play a critical role in developing, scaling, and expanding the Artos platform to help serve regulatory needs for pharma and life science companies around the globe.
### **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
